Avishek Anand - RankMe

204 papers A* 26A 20B 6Misc 7Journal 104Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part I ECIR (1) Ricardo Campos, Adam Jatowt, Yanyan Lan, Mohammad Aliannejadi, Christine Bauer, Sean MacAvaney, Avishek Anand, Zhaochun Ren, Suzan Verberne, Nan Bai, Masoud Mansoury
2026	—	`ed.`	Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II ECIR (2) Ricardo Campos, Adam Jatowt, Yanyan Lan, Mohammad Aliannejadi, Christine Bauer, Sean MacAvaney, Avishek Anand, Zhaochun Ren, Suzan Verberne, Nan Bai, Masoud Mansoury
2026	—	`ed.`	Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part III ECIR (3) Ricardo Campos, Adam Jatowt, Yanyan Lan, Mohammad Aliannejadi, Christine Bauer, Sean MacAvaney, Avishek Anand, Zhaochun Ren, Suzan Verberne, Nan Bai, Masoud Mansoury
2026	—	`ed.`	Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part IV ECIR (4) Ricardo Campos, Adam Jatowt, Yanyan Lan, Mohammad Aliannejadi, Christine Bauer, Sean MacAvaney, Avishek Anand, Zhaochun Ren, Suzan Verberne, Nan Bai, Masoud Mansoury
2026	A	`conf`	On Listwise Reranking for Corpus Feedback. WSDM Soyoung Yoon, Jongho Kim, Daeyong Kwon, Avishek Anand, Seung-won Hwang
2026	A	`conf`	TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions. WSDM Abdelrahman Abdallah, Bhawna Piryani, Jonas Wallat, Avishek Anand, Adam Jatowt
2026	—	`conf`	Test-time Corpus Feedback: From Retrieval to RAG. EACL (Findings) Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand
2026	—	`conf`	The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking. ECIR (4) Julia Maria Struß, Sebastian Schellhammer, Stefan Dietze, Venktesh V., Vinay Setty, Tanmoy Chakraborty, Preslav Nakov, Avishek Anand, Primakov Chungkham, Salim Hafid, Dhruv Sahnan, Konstantin Todorov
2026	J	`jnl`	The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking. CoRR Julia Maria Struß, Sebastian Schellhammer, Stefan Dietze, Venktesh V, Vinay Setty, Tanmoy Chakraborty, Preslav Nakov, Avishek Anand, Primakov Chungkham, Salim Hafid, Dhruv Sahnan, Konstantin Todorov
2025	J	`jnl`	A Benchmark for Open-Domain Numerical Fact-Checking Enhanced by Claim Decomposition. CoRR Venktesh V, Deepali Prabhu, Avishek Anand
2025	—	`conf`	A Study into Investigating Temporal Robustness of LLMs. ACL (Findings) Jonas Wallat, Abdelrahman Abdallah, Adam Jatowt, Avishek Anand
2025	J	`jnl`	A Study into Investigating Temporal Robustness of LLMs. CoRR Jonas Wallat, Abdelrahman Abdallah, Adam Jatowt, Avishek Anand
2025	A*	`conf`	Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets. SIGIR Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand
2025	J	`jnl`	Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets. CoRR Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand
2025	J	`jnl`	Conversational Agents: A Framework for Evaluation (CAFE) (Dagstuhl Perspectives Workshop 24352). Dagstuhl Manifestos Christine Bauer, Li Chen, Nicola Ferro, Norbert Fuhr, Avishek Anand, Timo Breuer, Guglielmo Faggioli, Ophir Frieder, Hideo Joho, Jussi Karlgren, Johannes Kiesel, Bart P. Knijnenburg, Aldo Lipani, Lien Michiels, Andrea Papenmeier, Maria Soledad Pera, Mark Sanderson, Scott Sanner, Benno Stein, Johanne R. Trippas, Karin Verspoor, Martijn C. Willemsen
2025	Misc	`conf`	Correctness is not Faithfulness in Retrieval Augmented Generation Attributions. ICTIR Jonas Wallat, Maria Heuss, Maarten de Rijke, Avishek Anand
2025	A	`conf`	Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation. AAMAS Amir Abolfazli, Zekun Song, Avishek Anand, Wolfgang Nejdl
2025	J	`jnl`	Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation. CoRR Amir Abolfazli, Zekun Song, Avishek Anand, Wolfgang Nejdl
2025	Misc	`conf`	Evaluating List Construction and Temporal Understanding capabilities of Large Language Models. ICTIR Alexandru Dumitru, Venktesh V, Adam Jatowt, Avishek Anand
2025	J	`jnl`	Evaluating List Construction and Temporal Understanding capabilities of Large Language Models. CoRR Alexandru Dumitru, Venktesh V, Adam Jatowt, Avishek Anand
2025	—	`conf`	Explainable Information Retrieval. ECIR (5) Avishek Anand, Sourav Saha, Venktesh V
2025	J	`jnl`	Extending Dense Passage Retrieval with Temporal Information. CoRR Abdelrahman Abdallah, Bhawna Piryani, Jonas Wallat, Avishek Anand, Adam Jatowt
2025	—	`conf`	FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking. ECIR (4) Kevin Nanhekhan, Venktesh V, Erik Martin, Henrik Vatndal, Vinay Setty, Avishek Anand
2025	J	`jnl`	FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking. CoRR Kevin Nanekhan, Venktesh V, Erik Martin, Henrik Vatndal, Vinay Setty, Avishek Anand
2025	—	`conf`	Guiding Retrieval Using LLM-Based Listwise Rankers. ECIR (1) Mandeep Rathee, Sean MacAvaney, Avishek Anand
2025	J	`jnl`	Guiding Retrieval using LLM-based Listwise Rankers. CoRR Mandeep Rathee, Sean MacAvaney, Avishek Anand
2025	J	`jnl`	It's High Time: A Survey of Temporal Information Retrieval and Question Answering. CoRR Bhawna Piryani, Abdelrahman Abdallah, Jamshid Mozafari, Avishek Anand, Adam Jatowt
2025	J	`jnl`	Manifesto from Dagstuhl Perspectives Workshop 24352 - Conversational Agents: A Framework for Evaluation (CAFE). CoRR Christine Bauer, Li Chen, Nicola Ferro, Norbert Fuhr, Avishek Anand, Timo Breuer, Guglielmo Faggioli, Ophir Frieder, Hideo Joho, Jussi Karlgren, Johannes Kiesel, Bart P. Knijnenburg, Aldo Lipani, Lien Michiels, Andrea Papenmeier, Maria Soledad Pera, Mark Sanderson, Scott Sanner, Benno Stein, Johanne R. Trippas, Karin Verspoor, Martijn C. Willemsen
2025	J	`jnl`	Model-free reinforcement learning with noisy actions for automated experimental control in optics. Trans. Mach. Learn. Res. Lea Richtmann, Viktoria-Sophie Schmiesing, Dennis Wilken, Jan Heine, Aaron D. Tranter, Avishek Anand, Tobias J. Osborne, Michèle Heurs
2025	J	`jnl`	On Listwise Reranking for Corpus Feedback. CoRR Soyoung Yoon, Jongho Kim, Daeyong Kwon, Avishek Anand, Seung-won Hwang
2025	—	`conf`	Overview of the CLEF-2025 CheckThat! Lab Task 3 on Fact-Checking Numerical Claims. CLEF (Working Notes) Venktesh V, Vinay Setty, Avishek Anand, Boushra Bendou, Maram Hasanain, Houda Bouamor, Gabriel Iturra-Bocaz, Petra Galuscáková, Firoj Alam
2025	A	`conf`	Quam: Adaptive Retrieval through Query Affinity Modelling. WSDM Mandeep Rathee, Sean MacAvaney, Avishek Anand
2025	A*	`conf`	RankingSHAP - Faithful Listwise Feature Attribution Explanations for Ranking Models. SIGIR Maria Heuss, Maarten de Rijke, Avishek Anand
2025	A	`conf`	Recommender Systems for Sustainable Development through Responsible Nudging. CIKM Mehrdad Rostami, Alexander Felfernig, Wolfgang Wörndl, Mourad Oussalah, Avishek Anand, Mahdi Jalili, Ashmi Banerjee
2025	J	`jnl`	Report on the Workshop on Explainability in Information Retrieval (WExIR) at SIGIR 2025. SIGIR Forum Maria Heuss, Catherine Chen, Avishek Anand, Carsten Eickhoff, Suzan Verberne
2025	—	`conf`	SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA. NAACL (Long Papers) Venktesh V, Mandeep Rathee, Avishek Anand
2025	J	`jnl`	SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA. CoRR Venktesh V, Mandeep Rathee, Avishek Anand
2025	A*	`conf`	Sample Efficient Demonstration Selection for In-Context Learning. ICML Kiran Purohit, Venktesh V, Sourangshu Bhattacharya, Avishek Anand
2025	J	`jnl`	Sample Efficient Demonstration Selection for In-Context Learning. CoRR Kiran Purohit, Venktesh V, Sourangshu Bhattacharya, Avishek Anand
2025	J	`jnl`	Test-time Corpus Feedback: From Retrieval to RAG. CoRR Mandeep Rathee, Venktesh V, Sean MacAvaney, Avishek Anand
2025	—	`conf`	Think Right, Not More: Test-Time Scaling for Numerical Claim Verification. EMNLP (Findings) Primakov Chungkham, Venktesh V, Vinay Setty, Avishek Anand
2025	J	`jnl`	Think Right, Not More: Test-Time Scaling for Numerical Claim Verification. CoRR Primakov Chungkham, Venktesh V, Vinay Setty, Avishek Anand
2025	J	`jnl`	Trust but Verify! A Survey on Verification Design for Test-time Scaling. CoRR Venktesh V, Mandeep Rathee, Avishek Anand
2025	A*	`conf`	Workshop on Explainability in Information Retrieval. SIGIR Maria Heuss, Catherine Chen, Avishek Anand, Carsten Eickhoff, Suzan Verberne
2025	A*	`conf`	ir_explain: A Python Library of Explainable IR Methods. SIGIR Sourav Saha, Harsh Agarwal, Venktesh V, Avishek Anand, Swastik Mohanty, Debapriyo Majumdar, Mandar Mitra
2024	A	`conf`	Causal Probing for Dual Encoders. CIKM Jonas Wallat, Hauke Hinrichs, Avishek Anand
2024	J	`jnl`	Correctness is not Faithfulness in RAG Attributions. CoRR Jonas Wallat, Maria Heuss, Maarten de Rijke, Avishek Anand
2024	J	`jnl`	DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs. CoRR Venktesh V, Deepali Prabhu, Avishek Anand
2024	J	`jnl`	DINE: Dimensional Interpretability of Node Embeddings. IEEE Trans. Knowl. Data Eng. Simone Piaggesi, Megha Khosla, André Panisson, Avishek Anand
2024	—	`conf`	DISCO: DISCovering Overfittings as Causal Rules for Text Classification Models. MAI-XAI@ECAI Zijian Zhang, Vinay Setty, Yumeng Wang, Avishek Anand
2024	J	`jnl`	DISCO: DISCovering Overfittings as Causal Rules for Text Classification Models. CoRR Zijian Zhang, Vinay Setty, Yumeng Wang, Avishek Anand
2024	J	`jnl`	Data Augmentation for Sample Efficient and Robust Document Ranking. ACM Trans. Inf. Syst. Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand
2024	A*	`conf`	EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning. EMNLP Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Yerragorla, Sourangshu Bhattacharya, Avishek Anand
2024	J	`jnl`	EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning. CoRR Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Yerragorla, Sourangshu Bhattacharya, Avishek Anand
2024	J	`jnl`	Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders. ACM Trans. Inf. Syst. Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
2024	—	`conf`	Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank? ECIR (4) Lijun Lyu, Nirmal Roy, Harrie Oosterhuis, Avishek Anand
2024	J	`jnl`	Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank? CoRR Lijun Lyu, Nirmal Roy, Harrie Oosterhuis, Avishek Anand
2024	A*	`conf`	Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions. ICML Harrie Oosterhuis, Lijun Lyu, Avishek Anand
2024	J	`jnl`	Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions. CoRR Harrie Oosterhuis, Lijun Lyu, Avishek Anand
2024	J	`jnl`	Model-free reinforcement learning with noisy actions for automated experimental control in optics. CoRR Lea Richtmann, Viktoria-Sophie Schmiesing, Dennis Wilken, Jan Heine, Aaron D. Tranter, Avishek Anand, Tobias J. Osborne, Michèle Heurs
2024	J	`jnl`	NUMTEMP: A real-world benchmark to verify claims with statistical and temporal expressions. CoRR Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty
2024	J	`jnl`	Quam: Adaptive Retrieval through Query Affinity Modelling. CoRR Mandeep Rathee, Sean MacAvaney, Avishek Anand
2024	A*	`conf`	QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims. SIGIR Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty
2024	J	`jnl`	RankingSHAP - Listwise Feature Attribution Explanations for Ranking Models. CoRR Maria Heuss, Maarten de Rijke, Avishek Anand
2024	A	`conf`	Temporal Blind Spots in Large Language Models. WSDM Jonas Wallat, Adam Jatowt, Avishek Anand
2024	J	`jnl`	Temporal Blind Spots in Large Language Models. CoRR Jonas Wallat, Adam Jatowt, Avishek Anand
2024	J	`jnl`	The Surprising Effectiveness of Rankers Trained on Expanded Queries. CoRR Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand
2024	A*	`conf`	The Surprising Effectiveness of Rankers trained on Expanded Queries. SIGIR Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand
2024	A	`conf`	Understanding the User: An Intent-Based Ranking Dataset. CIKM Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand
2024	J	`jnl`	Understanding the User: An Intent-Based Ranking Dataset. CoRR Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand
2023	A*	`conf`	A Deep Reinforcement Learning Approach to Configuration Sampling Problem. ICDM Amir Abolfazli, Jakob Spiegelberg, Gregory Palmer, Avishek Anand
2023	J	`jnl`	An in-depth analysis of passage-level label transfer for contextual document ranking. Inf. Retr. J. Koustav Rudra, Zeon Trevor Fernando, Avishek Anand
2023	J	`jnl`	Context Aware Query Rewriting for Text Rankers using LLM. CoRR Abhijit Anand, Venktesh V, Vinay Setty, Avishek Anand
2023	J	`jnl`	DINE: Dimensional Interpretability of Node Embeddings. CoRR Simone Piaggesi, Megha Khosla, André Panisson, Avishek Anand
2023	J	`jnl`	Data Augmentation for Sample Efficient and Robust Document Ranking. CoRR Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand
2023	J	`jnl`	Efficient Neural Ranking using Forward Indexes and Lightweight Encoders. CoRR Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
2023	—	`conf`	Explainability of Text Processing and Retrieval Methods. FIRE Avishek Anand, Sourav Saha, Procheta Sen, Mandar Mitra
2023	A*	`conf`	Explainable Information Retrieval. SIGIR Avishek Anand, Procheta Sen, Sourav Saha, Manisha Verma, Mandar Mitra
2023	J	`jnl`	Extractive Explanations for Interpretable Text Ranking. ACM Trans. Inf. Syst. Jurek Leonhardt, Koustav Rudra, Avishek Anand
2023	J	`jnl`	In-Context Ability Transfer for Question Decomposition in Complex QA. CoRR Venktesh V, Sourangshu Bhattacharya, Avishek Anand
2023	—	`conf`	Listwise Explanations for Ranking Models Using Multiple Explainers. ECIR (1) Lijun Lyu, Avishek Anand
2023	—	`conf`	Probing BERT for Ranking Abilities. ECIR (2) Jonas Wallat, Fabian Beringer, Abhijit Anand, Avishek Anand
2023	J	`jnl`	Query Understanding in the Age of Large Language Models. CoRR Avishek Anand, Venktesh V, Abhijit Anand, Vinay Setty
2023	J	`jnl`	Report on the 21st Dutch-Belgian Information Retrieval Workshop (DIR 2023). SIGIR Forum Avishek Anand, Maria Soledad Pera, Maria Heuss, Venktesh V, Matteo Corsi
2023	J	`jnl`	The Effect of Masking Strategies on Knowledge Retention by Language Models. CoRR Jonas Wallat, Tianyi Zhang, Avishek Anand
2023	J	`jnl`	Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Thorben Funke, Megha Khosla, Mandeep Rathee, Avishek Anand
2022	—	`conf`	Answer Quality Aware Aggregation for Extractive QA Crowdsourcing. EMNLP (Findings) Peide Zhu, Zhen Wang, Claudia Hauff, Jie Yang, Avishek Anand
2022	J	`jnl`	BAGEL: A Benchmark for Assessing Graph Neural Network Explanations. CoRR Mandeep Rathee, Thorben Funke, Avishek Anand, Megha Khosla
2022	Misc	`conf`	BERT Rankers are Brittle: A Study using Adversarial Document Perturbations. ICTIR Yumeng Wang, Lijun Lyu, Avishek Anand
2022	J	`jnl`	BERT Rankers are Brittle: a Study using Adversarial Document Perturbations. CoRR Yumeng Wang, Lijun Lyu, Avishek Anand
2022	J	`jnl`	Distribution-Aligned Fine-Tuning for Efficient Neural Retrieval. CoRR Jurek Leonhardt, Marcel Jahnke, Avishek Anand
2022	A*	`conf`	Efficient Neural Ranking using Forward Indexes. WWW Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
2022	J	`jnl`	Explainable Information Retrieval: A Survey. CoRR Avishek Anand, Lijun Lyu, Maximilian Idahl, Yumeng Wang, Jonas Wallat, Zijian Zhang
2022	A*	`conf`	For What It's Worth: Humans Overwrite Their Economic Self-interest to Avoid Bargaining With AI Systems. CHI Alexander Erlei, Richeek Das, Lukas Meub, Avishek Anand, Ujwal Gadiraju
2022	A*	`conf`	SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals. SIGIR Zijian Zhang, Vinay Setty, Avishek Anand
2022	J	`jnl`	SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals. CoRR Zijian Zhang, Vinay Setty, Avishek Anand
2022	Misc	`conf`	Supervised Contrastive Learning Approach for Contextual Ranking. ICTIR Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand
2022	J	`jnl`	Supervised Contrastive Learning Approach for Contextual Ranking. CoRR Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand
2021	J	`jnl`	A Comparative Study for Unsupervised Network Representation Learning. IEEE Trans. Knowl. Data Eng. Megha Khosla, Vinay Setty, Avishek Anand
2021	J	`jnl`	An In-depth Analysis of Passage-Level Label Transfer for Contextual Document Ranking. CoRR Koustav Rudra, Zeon Trevor Fernando, Avishek Anand
2021	J	`jnl`	BERTnesia: Investigating the capture and forgetting of knowledge in BERT. CoRR Jonas Wallat, Jaspreet Singh, Avishek Anand
2021	J	`jnl`	Dissonance Between Human and Machine Understanding. CoRR Zijian Zhang, Jaspreet Singh, Ujwal Gadiraju, Avishek Anand
2021	A	`conf`	Explain and Predict, and then Predict Again. WSDM Zijian Zhang, Koustav Rudra, Avishek Anand
2021	J	`jnl`	Explain and Predict, and then Predict again. CoRR Zijian Zhang, Koustav Rudra, Avishek Anand
2021	—	`conf`	Exploiting Sentence-Level Representations for Passage Ranking. LWDA Jurek Leonhardt, Fabian Beringer, Avishek Anand
2021	J	`jnl`	Exploiting Sentence-Level Representations for Passage Ranking. CoRR Jurek Leonhardt, Fabian Beringer, Avishek Anand
2021	Misc	`conf`	Extracting per Query Valid Explanations for Blackbox Learning-to-Rank Models. ICTIR Jaspreet Singh, Megha Khosla, Zhenye Wang, Avishek Anand
2021	J	`jnl`	Fast Forward Indexes for Efficient Document Ranking. CoRR Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
2021	A	`conf`	FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop. CIKM Zijian Zhang, Koustav Rudra, Avishek Anand
2021	J	`jnl`	FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop. CoRR Zijian Zhang, Koustav Rudra, Avishek Anand
2021	—	`conf`	L3S at the TREC 2021 Deep Learning Track. TREC Jurek Leonhardt, Avishek Anand, Koustav Rudra
2021	J	`jnl`	Learnt Sparsification for Interpretable Graph Neural Networks. CoRR Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, Avishek Anand
2021	J	`jnl`	Learnt Sparsity for Effective and Interpretable Document Ranking. CoRR Jurek Leonhardt, Koustav Rudra, Avishek Anand
2021	—	`book`	Question Answering for the Curated Web: Tasks and Methods in QA over Knowledge Bases and Text Collections Rishiraj Saha Roy, Avishek Anand
2021	J	`jnl`	Revisiting the Auction Algorithm for Weighted Bipartite Perfect Matchings. CoRR Megha Khosla, Avishek Anand
2021	Misc	`conf`	Towards Axiomatic Explanations for Neural Ranking Models. ICTIR Michael Völske, Alexander Bondarenko, Maik Fröbe, Benno Stein, Jaspreet Singh, Matthias Hagen, Avishek Anand
2021	J	`jnl`	Towards Axiomatic Explanations for Neural Ranking Models. CoRR Michael Völske, Alexander Bondarenko, Maik Fröbe, Matthias Hagen, Benno Stein, Jaspreet Singh, Avishek Anand
2021	J	`jnl`	Towards Benchmarking the Utility of Explanations for Model Debugging. CoRR Maximilian Idahl, Lijun Lyu, Ujwal Gadiraju, Avishek Anand
2021	J	`jnl`	Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks. CoRR Thorben Funke, Megha Khosla, Mandeep Rathee, Avishek Anand
2020	—	`conf`	BERTnesia: Investigating the capture and forgetting of knowledge in BERT. BlackboxNLP@EMNLP Jaspreet Singh, Jonas Wallat, Avishek Anand
2020	J	`jnl`	BERTnesia: Investigating the capture and forgetting of knowledge in BERT. CoRR Jonas Wallat, Jaspreet Singh, Avishek Anand
2020	—	`conf`	Boilerplate Removal using a Neural Sequence Labeling Model. WWW (Companion Volume) Jurek Leonhardt, Avishek Anand, Megha Khosla
2020	J	`jnl`	Boilerplate Removal using a Neural Sequence Labeling Model. CoRR Jurek Leonhardt, Avishek Anand, Megha Khosla
2020	J	`jnl`	Characterization and classification of semantic image-text relations. Int. J. Multim. Inf. Retr. Christian Otto, Matthias Springstein, Avishek Anand, Ralph Ewerth
2020	J	`jnl`	Conversational Search - A Report from Dagstuhl Seminar 19461. CoRR Avishek Anand, Lawrence Cavedon, Matthias Hagen, Hideo Joho, Mark Sanderson, Benno Stein
2020	J	`jnl`	Dagstuhl seminar 19461 on conversational search: seminar goals and working group outcomes. SIGIR Forum Avishek Anand, Lawrence Cavedon, Matthias Hagen, Hideo Joho, Mark Sanderson, Benno Stein
2020	A	`conf`	Distant Supervision in BERT-based Adhoc Document Retrieval. CIKM Koustav Rudra, Avishek Anand
2020	B	`conf`	Impact of Algorithmic Decision Making on Human Behavior: Evidence from Ultimatum Bargaining. HCOMP Alexander Erlei, Franck Awounang Nekdem, Lukas Meub, Avishek Anand, Ujwal Gadiraju
2020	—	`conf`	Model agnostic interpretability of rankers via intent modelling. FAT* Jaspreet Singh, Avishek Anand
2020	Misc	`conf`	Question Answering over Curated and Open Web Sources. ICTIR Rishiraj Saha Roy, Avishek Anand
2020	A*	`conf`	Question Answering over Curated and Open Web Sources. SIGIR Rishiraj Saha Roy, Avishek Anand
2020	J	`jnl`	Question Answering over Curated and Open Web Sources. CoRR Rishiraj Saha Roy, Avishek Anand
2020	J	`jnl`	Valid Explanations for Learning to Rank Models. CoRR Jaspreet Singh, Megha Khosla, Avishek Anand
2019	J	`jnl`	A Comprehensive Comparison of Unsupervised Network Representation Learning Methods. CoRR Megha Khosla, Avishek Anand, Vinay Setty
2019	J	`jnl`	A Faster Algorithm for Cuckoo Insertion and Bipartite Matching in Large Graphs. Algorithmica Megha Khosla, Avishek Anand
2019	A*	`conf`	A study on the Interpretability of Neural Retrieval Models using DeepSHAP. SIGIR Zeon Trevor Fernando, Jaspreet Singh, Avishek Anand
2019	J	`jnl`	A study on the Interpretability of Neural Retrieval Models using DeepSHAP. CoRR Zeon Trevor Fernando, Jaspreet Singh, Avishek Anand
2019	A	`conf`	Asynchronous Training of Word Embeddings for Large Text Corpora. WSDM Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang
2019	B	`conf`	Clarifying False Memories in Voice-based Search. CHIIR Johannes Kiesel, Arefeh Bahrami, Benno Stein, Avishek Anand, Matthias Hagen
2019	J	`jnl`	Conversational Search (Dagstuhl Seminar 19461). Dagstuhl Reports Avishek Anand, Lawrence Cavedon, Hideo Joho, Mark Sanderson, Benno Stein
2019	J	`jnl`	Dissonance Between Human and Machine Understanding. Proc. ACM Hum. Comput. Interact. Zijian Zhang, Jaspreet Singh, Ujwal Gadiraju, Avishek Anand
2019	A	`conf`	EXS: Explainable Search Using Local Model Agnostic Interpretability. WSDM Jaspreet Singh, Avishek Anand
2019	J	`jnl`	Estimating PageRank deviations in crawled graphs. Appl. Netw. Sci. Helge Holzmann, Avishek Anand, Megha Khosla
2019	—	`conf`	Finding Interpretable Concept Spaces in Node Embeddings Using Knowledge Bases. PKDD/ECML Workshops (1) Maximilian Idahl, Megha Khosla, Avishek Anand
2019	J	`jnl`	Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases. CoRR Maximilian Idahl, Megha Khosla, Avishek Anand
2019	—	`conf`	Node Representation Learning for Directed Graphs. ECML/PKDD (1) Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand
2019	A*	`conf`	TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables. WWW Besnik Fetahu, Avishek Anand, Maria Koutraki
2019	J	`jnl`	TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables. CoRR Besnik Fetahu, Avishek Anand, Maria Koutraki
2019	B	`conf`	Understanding, Categorizing and Predicting Semantic Image-Text Relations. ICMR Christian Otto, Matthias Springstein, Avishek Anand, Ralph Ewerth
2019	J	`jnl`	Understanding, Categorizing and Predicting Semantic Image-Text Relations. CoRR Christian Otto, Matthias Springstein, Avishek Anand, Ralph Ewerth
2018	J	`jnl`	Asynchronous Training of Word Embeddings for Large Text Corpora. CoRR Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang
2018	—	`conf`	Delusive PageRank in Incomplete Graphs. COMPLEX NETWORKS (1) Helge Holzmann, Avishek Anand, Megha Khosla
2018	J	`jnl`	Designing Search Tasks for Archive Search. CoRR Jaspreet Singh, Avishek Anand
2018	J	`jnl`	Discovering Entities with Just a Little Help from You. CoRR Jaspreet Singh, Johannes Hoffart, Avishek Anand
2018	J	`jnl`	EXS: Explainable Search Using Local Model Agnostic Interpretability. CoRR Jaspreet Singh, Avishek Anand
2018	—	`conf`	Effects of Algorithmic Decision-Making and Interpretability on Human Behavior: Experiments using Crowdsourcing. HCOMP (WIP&Demo) Avishek Anand, Kilian Bizer, Alexander Erlei, Ujwal Gadiraju, Christian Heinze, Lukas Meub, Wolfgang Nejdl, Björn Steinrötter
2018	J	`jnl`	Expedition: A Time-Aware Exploratory Search System Designed for Scholars. CoRR Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
2018	J	`jnl`	History by Diversity: Helping Historians search News Archives. CoRR Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
2018	J	`jnl`	Interpreting search result rankings through intent modeling. CoRR Jaspreet Singh, Avishek Anand
2018	J	`jnl`	Node Representation Learning for Directed Graphs. CoRR Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand
2018	J	`jnl`	Posthoc Interpretability of Learning to Rank Models using Secondary Training Data. CoRR Jaspreet Singh, Avishek Anand
2018	A*	`conf`	Toward Voice Query Clarification. SIGIR Johannes Kiesel, Arefeh Bahrami, Benno Stein, Avishek Anand, Matthias Hagen
2018	—	`conf`	User Fairness in Recommender Systems. WWW (Companion Volume) Jurek Leonhardt, Avishek Anand, Megha Khosla
2018	J	`jnl`	User Fairness in Recommender Systems. CoRR Jurek Leonhardt, Avishek Anand, Megha Khosla
2017	J	`jnl`	ArchiveSpark: Efficient Web Archive Access, Extraction and Derivation. CoRR Helge Holzmann, Vinay Goel, Avishek Anand
2017	J	`jnl`	Automated News Suggestions for Populating Wikipedia Entity Pages. CoRR Besnik Fetahu, Katja Markert, Avishek Anand
2017	J	`jnl`	Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events. CoRR Tuan Tran, Claudia Niederée, Nattiya Kanhabua, Ujwal Gadiraju, Avishek Anand
2017	A*	`conf`	BioNex: A System For Biomedical News Event Exploration. SIGIR Patrick Ernst, Arunav Mishra, Avishek Anand, Vinay Setty
2017	B	`conf`	Designing Search Tasks for Archive Search. CHIIR Jaspreet Singh, Avishek Anand
2017	—	`conf`	Exploring Web Archives Through Temporal Anchor Texts. WebSci Helge Holzmann, Wolfgang Nejdl, Avishek Anand
2017	J	`jnl`	Finding News Citations for Wikipedia. CoRR Besnik Fetahu, Katja Markert, Wolfgang Nejdl, Avishek Anand
2017	A*	`conf`	Fine Grained Citation Span for References in Wikipedia. EMNLP Besnik Fetahu, Katja Markert, Avishek Anand
2017	J	`jnl`	Fine Grained Citation Span for References in Wikipedia. CoRR Besnik Fetahu, Katja Markert, Avishek Anand
2017	J	`jnl`	How much is Wikipedia Lagging Behind News? CoRR Besnik Fetahu, Abhijit Anand, Avishek Anand
2017	A	`conf`	Modeling Event Importance for Ranking Daily News Events. WSDM Vinay Setty, Abhijit Anand, Arunav Mishra, Avishek Anand
2017	J	`jnl`	On the Applicability of Delicious for Temporal Search on Web Archives. CoRR Helge Holzmann, Wolfgang Nejdl, Avishek Anand
2017	J	`jnl`	Tempas: Temporal Archive Search Based on Tags. CoRR Helge Holzmann, Avishek Anand
2017	J	`jnl`	The Dawn of Today's Popular Domains: A Study of the Archived German Web over 18 Years. CoRR Helge Holzmann, Wolfgang Nejdl, Avishek Anand
2016	J	`jnl`	A Faster Algorithm for Cuckoo Insertion and Bipartite Matching in Large Graphs. CoRR Megha Khosla, Avishek Anand
2016	—	`conf`	ArchiveSpark: Efficient Web Archive Access, Extraction and Derivation. JCDL Helge Holzmann, Vinay Goel, Avishek Anand
2016	A	`conf`	Discovering Entities with Just a Little Help from You. CIKM Jaspreet Singh, Johannes Hoffart, Avishek Anand
2016	A*	`conf`	Expedition: A Time-Aware Exploratory Search System Designed for Scholars. SIGIR Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
2016	—	`conf`	Exploring the past of the web: alexandria & archive-it hackathon. WebSci Avishek Anand, Jefferson Bailey
2016	A	`conf`	Finding News Citations for Wikipedia. CIKM Besnik Fetahu, Katja Markert, Wolfgang Nejdl, Avishek Anand
2016	B	`conf`	History by Diversity: Helping Historians search News Archives. CHIIR Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
2016	—	`conf`	L3S at the NTCIR-12 Temporal Information Access (Temporalia-2) Task. NTCIR Zeon Trevor Fernando, Jaspreet Singh, Avishek Anand
2016	A*	`conf`	On the Applicability of Delicious for Temporal Search on Web Archives. SIGIR Helge Holzmann, Wolfgang Nejdl, Avishek Anand
2016	—	`conf`	Tempas: Temporal Archive Search Based on Tags. WWW (Companion Volume) Helge Holzmann, Avishek Anand
2016	A*	`conf`	Temporal Information Retrieval. SIGIR Nattiya Kanhabua, Avishek Anand
2016	—	`conf`	The Dawn of Today's Popular Domains: A Study of the Archived German Web over 18 Years. JCDL Helge Holzmann, Wolfgang Nejdl, Avishek Anand
2016	—	`conf`	The Knowledge Awakens: Keeping Knowledge Bases Fresh with Emerging Entities. WWW (Companion Volume) Johannes Hoffart, Dragan Milchevski, Gerhard Weikum, Avishek Anand, Jaspreet Singh
2015	A	`conf`	Automated News Suggestions for Populating Wikipedia Entity Pages. CIKM Besnik Fetahu, Katja Markert, Avishek Anand
2015	A	`conf`	Balancing Novelty and Salience: Adaptive Learning to Rank Entities for Timeline Summarization of High-impact Events. CIKM Tuan Tran, Claudia Niederée, Nattiya Kanhabua, Ujwal Gadiraju, Avishek Anand
2015	—	`conf`	Exploring Long Running News Stories using Wikipedia. WebSci Jaspreet Singh, Abhijit Anand, Vinay Setty, Avishek Anand
2015	—	`conf`	How much is Wikipedia Lagging Behind News? WebSci Besnik Fetahu, Abhijit Anand, Avishek Anand
2015	B	`conf`	The Sweet Spot between Inverted Indices and Metric-Space Indexing for Top-K-List Similarity Search. EDBT Evica Milchevski, Avishek Anand, Sebastian Michel
2014	A	`conf`	Phrase Query Optimization on Inverted Indexes. CIKM Avishek Anand, Ida Mele, Srikanta J. Bedathur, Klaus Berberich
2013	A*	`conf`	FERRARI: Flexible and efficient reachability range assignment for graph indexing. ICDE Stephan Seufert, Avishek Anand, Srikanta J. Bedathur, Gerhard Weikum
2013	—	`—`	Indexing methods for web archives. Avishek Anand
2012	J	`jnl`	High-Performance Reachability Query Processing under Index Size Restrictions CoRR Stephan Seufert, Avishek Anand, Srikanta J. Bedathur, Gerhard Weikum
2012	A*	`conf`	Index maintenance for time-travel text search. SIGIR Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel
2011	A*	`conf`	Temporal index sharding for space-time efficiency in archive search. SIGIR Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel
2010	A	`conf`	Efficient temporal keyword search over versioned text. CIKM Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel
2009	—	`conf`	EverLast: a distributed architecture for preserving the web. JCDL Avishek Anand, Srikanta J. Bedathur, Klaus Berberich, Ralf Schenkel, Christos Tryfonopoulos