Estevam Hruschka

52 papers A* 1Journal 32Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Dynamic Self-Evolving Extraction System. CoRR Moin Aminnaseri, Hannah Kim, Estevam Hruschka
2026	J	`jnl`	From Task Solving to Robust Real-World Adaptation in LLM Agents. CoRR Pouya Pezeshkpour, Estevam Hruschka
2026	—	`conf`	RECAP: REwriting Conversations for Intent Understanding in Agentic Planning. EACL (Findings) Kushan Mitra, Dan Zhang, Hannah Kim, Estevam Hruschka
2026	—	`conf`	Verification-Aware Planning for Multi-Agent Systems. EACL (Volume 1: Long Papers) Tianyang Xu, Dan Zhang, Kushan Mitra, Estevam Hruschka
2025	—	`conf`	AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems. EMNLP (System Demonstrations) Hannah Kim, Kushan Mitra, Chen Shen, Dan Zhang, Estevam Hruschka
2025	J	`jnl`	AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems. CoRR Hannah Kim, Kushan Mitra, Chen Shen, Dan Zhang, Estevam Hruschka
2025	—	`conf`	Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education. NAACL (Industry Track) Hayate Iso, Pouya Pezeshkpour, Nikita Bhutani, Estevam Hruschka
2025	J	`jnl`	Evaluating Bias in LLMs for Job-Resume Matching: Gender, Race, and Education. CoRR Hayate Iso, Pouya Pezeshkpour, Nikita Bhutani, Estevam Hruschka
2025	—	`conf`	FactLens: Benchmarking Fine-Grained Fact Verification. ACL (Findings) Kushan Mitra, Dan Zhang, Sajjadur Rahman, Estevam Hruschka
2025	J	`jnl`	From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models. CoRR Farima Fatahi Bayat, Pouya Pezeshkpour, Estevam Hruschka
2025	—	`conf`	From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization. NAACL (Findings) Catarina G. Belém, Pouya Pezeshkpour, Hayate Iso, Seiji Maekawa, Nikita Bhutani, Estevam Hruschka
2025	J	`jnl`	Insight-RAG: Enhancing LLMs with Insight-Driven Augmentation. CoRR Pouya Pezeshkpour, Estevam Hruschka
2025	J	`jnl`	Learning Beyond the Surface: How Far Can Continual Pre-Training with LoRA Enhance LLMs' Domain-Specific Insight Learning? CoRR Pouya Pezeshkpour, Estevam Hruschka
2025	J	`jnl`	Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent Adaptation. CoRR Jackson Hassell, Dan Zhang, Hannah Kim, Tom M. Mitchell, Estevam Hruschka
2025	—	`conf`	Mixed Signals: Decoding VLMs' Reasoning and Underlying Bias in Vision-Language Conflict. EMNLP (Findings) Pouya Pezeshkpour, Moin Aminnaseri, Estevam Hruschka
2025	J	`jnl`	Mixed Signals: Decoding VLMs' Reasoning and Underlying Bias in Vision-Language Conflict. CoRR Pouya Pezeshkpour, Moin Aminnaseri, Estevam Hruschka
2025	—	`conf`	Multi-Conditional Ranking with Large Language Models. NAACL (Long Papers) Pouya Pezeshkpour, Estevam Hruschka
2025	—	`conf`	Natural Language Processing for Human Resources: A Survey. NAACL (Industry Track) Naoki Otani, Nikita Bhutani, Estevam Hruschka
2025	—	`conf`	Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI. ICDEW Eser Kandogan, Nikita Bhutani, Dan Zhang, Rafael Li Chen, Sairam Gurajada, Estevam Hruschka
2025	J	`jnl`	Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI. CoRR Eser Kandogan, Nikita Bhutani, Dan Zhang, Rafael Li Chen, Sairam Gurajada, Estevam Hruschka
2025	J	`jnl`	RECAP: REwriting Conversations for Intent Understanding in Agentic Planning. CoRR Kushan Mitra, Dan Zhang, Hannah Kim, Estevam Hruschka
2025	J	`jnl`	Towards Probabilistic Question Answering Over Tabular Data. CoRR Chen Shen, Sajjadur Rahman, Estevam Hruschka
2025	J	`jnl`	Towards Reliable Benchmarking: A Contamination Free, Controllable Evaluation Framework for Multi-step LLM Function Calling. CoRR Seiji Maekawa, Jackson Hassell, Pouya Pezeshkpour, Tom M. Mitchell, Estevam Hruschka
2025	J	`jnl`	Verification-Aware Planning for Multi-Agent Systems. CoRR Tianyang Xu, Dan Zhang, Kushan Mitra, Estevam Hruschka
2024	J	`jnl`	A Blueprint Architecture of Compound AI Systems for Enterprise. CoRR Eser Kandogan, Sajjadur Rahman, Nikita Bhutani, Dan Zhang, Rafael Li Chen, Kushan Mitra, Sairam Gurajada, Pouya Pezeshkpour, Hayate Iso, Yanlin Feng, Hannah Kim, Chen Shen, Jin Wang, Estevam Hruschka
2024	—	`conf`	Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks. ACL (Findings) Aditi Mishra, Sajjadur Rahman, Kushan Mitra, Hannah Kim, Estevam Hruschka
2024	J	`jnl`	FactLens: Benchmarking Fine-Grained Fact Verification. CoRR Kushan Mitra, Dan Zhang, Sajjadur Rahman, Estevam Hruschka
2024	J	`jnl`	From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization. CoRR Catarina G. Belém, Pouya Pezeskhpour, Hayate Iso, Seiji Maekawa, Nikita Bhutani, Estevam Hruschka
2024	J	`jnl`	Knowledge Acquisition and Integration with Expert-in-the-loop. CoRR Sajjadur Rahman, Frederick Choi, Hannah Kim, Dan Zhang, Estevam Hruschka
2024	—	`conf`	Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions. NAACL-HLT (Findings) Pouya Pezeshkpour, Estevam Hruschka
2024	—	`conf`	Less is More for Long Document Summary Evaluation by LLMs. EACL (2) Yunshu Wu, Hayate Iso, Pouya Pezeshkpour, Nikita Bhutani, Estevam Hruschka
2024	J	`jnl`	Multi-Conditional Ranking with Large Language Models. CoRR Pouya Pezeshkpour, Estevam Hruschka
2024	J	`jnl`	Natural Language Processing for Human Resources: A Survey. CoRR Naoki Otani, Nikita Bhutani, Estevam Hruschka
2024	J	`jnl`	Reasoning Capacity in Multi-Agent Systems: Limitations, Challenges and Human-Centered Solutions. CoRR Pouya Pezeshkpour, Eser Kandogan, Nikita Bhutani, Sajjadur Rahman, Tom M. Mitchell, Estevam Hruschka
2024	J	`jnl`	Retrieval Augmented Generation in the Wild: A System 2 Perspective. IEEE Data Eng. Bull. Sajjadur Rahman, Dan Zhang, Nikita Bhutani, Estevam Hruschka, Eser Kandogan
2023	J	`jnl`	Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks. CoRR Aditi Mishra, Sajjadur Rahman, Hannah Kim, Kushan Mitra, Estevam Hruschka
2023	J	`jnl`	Distilling Large Language Models using Skill-Occupation Graph Context for HR-Related Tasks. CoRR Pouya Pezeshkpour, Hayate Iso, Thom Lake, Nikita Bhutani, Estevam Hruschka
2023	J	`jnl`	Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs. CoRR Nedelina Teneva, Estevam Hruschka
2023	J	`jnl`	Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions. CoRR Pouya Pezeshkpour, Estevam Hruschka
2023	J	`jnl`	Less is More for Long Document Summary Evaluation by LLMs. CoRR Yunshu Wu, Hayate Iso, Pouya Pezeshkpour, Nikita Bhutani, Estevam Hruschka
2023	J	`jnl`	MEGAnno: Exploratory Labeling for NLP in Computational Notebooks. CoRR Dan Zhang, Hannah Kim, Rafael Li Chen, Eser Kandogan, Estevam Hruschka
2023	J	`jnl`	Rethinking Language Models as Symbolic Knowledge Graphs. CoRR Vishwas Mruthyunjaya, Pouya Pezeshkpour, Estevam Hruschka, Nikita Bhutani
2023	J	`jnl`	Towards Multifaceted Human-Centered AI. CoRR Sajjadur Rahman, Hannah Kim, Dan Zhang, Estevam Hruschka, Eser Kandogan
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2023	—	`conf`	Weedle: Composable Dashboard for Data-Centric NLP in Computational Notebooks. WWW (Companion Volume) Nahyun Kwon, Hannah Kim, Sajjadur Rahman, Dan Zhang, Estevam Hruschka
2023	—	`conf`	Zero-shot Triplet Extraction by Template Infilling. IJCNLP (1) Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole, Tom M. Mitchell
2022	—	`conf`	Low-resource Entity Set Expansion: A Comprehensive Study on User-generated Text. NAACL-HLT (Findings) Yutong Shao, Nikita Bhutani, Sajjadur Rahman, Estevam Hruschka
2022	—	`conf`	Low-resource Interactive Active Labeling for Fine-tuning Language Models. EMNLP (Findings) Seiji Maekawa, Dan Zhang, Hannah Kim, Sajjadur Rahman, Estevam Hruschka
2022	J	`jnl`	Zero-shot Triplet Extraction by Template Infilling. CoRR Bosung Kim, Hayate Iso, Nikita Bhutani, Estevam Hruschka, Ndapa Nakashole
2021	—	`conf`	TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration. WWW (Companion Volume) Dongjin Choi, Sara Evensen, Çagatay Demiralp, Estevam Hruschka
2021	J	`jnl`	TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration. CoRR Dongjin Choi, Sara Evensen, Çagatay Demiralp, Estevam Hruschka
2021	A*	`conf`	WIT: Workshop on deriving Insights from user-generated Text. KDD Estevam Hruschka, Tom M. Mitchell, Marko Grobelnik, Behzad Golshan