Pranava Madhyastha

79 papers A* 1A 5B 5Misc 1Journal 45Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	"Although Powerful, it's not Infallible": Investigating Academic Researchers' Verification Challenges with LLMs. CHIIR Monica Visani Scozzi, Stephann Makri, Pranava Madhyastha
2026	J	`jnl`	$\texttt{SEM-CTRL}$: Semantically Controlled Decoding. Trans. Mach. Learn. Res. Mohammad Albinhassan, Pranava Madhyastha, Alessandra Russo
2026	—	`conf`	IYKYK: Using language models to decode extremist cryptolects. EACL (Volume 1: Long Papers) Christine de Kock, Arij Riabi, Zeerak Talat, Michael Sejr Schlichtkrull, Pranava Madhyastha, Eduard H. Hovy
2025	J	`jnl`	An Empirical Study of Conformal Prediction in LLM with ASP Scaffolds for Robust Reasoning. CoRR Navdeep Kaur, Lachlan McPheat, Alessandra Russo, Anthony G. Cohn, Pranava Madhyastha
2025	J	`jnl`	Capturing Visualization Design Rationale. CoRR Maeve Hutchinson, Radu Jianu, Aidan Slingsby, Jo Wood, Pranava Madhyastha
2025	—	`conf`	Chart Question Answering from Real-World Analytical Narratives. ACL (4) Maeve Hutchinson, Radu Jianu, Aidan Slingsby, Jo Wood, Pranava Madhyastha
2025	J	`jnl`	Chart Question Answering from Real-World Analytical Narratives. CoRR Maeve Hutchinson, Radu Jianu, Aidan Slingsby, Jo Wood, Pranava Madhyastha
2025	J	`jnl`	DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning. CoRR Lachlan McPheat, Navdeep Kaur, Robert E. Blackwell, Alessandra Russo, Anthony G. Cohn, Pranava Madhyastha
2025	J	`jnl`	Foundation model assisted visual analytics: Opportunities and Challenges. Comput. Graph. Maeve Hutchinson, Radu Jianu, Aidan Slingsby, Pranava Madhyastha
2025	J	`jnl`	IYKYK: Using language models to decode extremist cryptolects. CoRR Christine de Kock, Arij Riabi, Zeerak Talat, Michael Sejr Schlichtkrull, Pranava Madhyastha, Eduard H. Hovy
2025	—	`conf`	Learning and Enforcing Context-Sensitive Control for LLMs. ACL (4) Mohammad Albinhassan, Pranava Madhyastha, Mark Law, Alessandra Russo
2025	J	`jnl`	Noise or Nuance: An Investigation Into Useful Information and Filtering For LLM Driven AKBC. CoRR Alex Clay, Ernesto Jiménez-Ruiz, Pranava Madhyastha
2025	J	`jnl`	SEM-CTRL: Semantically Controlled Decoding. CoRR Mohammad Albinhassan, Pranava Madhyastha, Alessandra Russo
2024	J	`jnl`	LLM-Assisted Visual Analytics: Opportunities and Challenges. CoRR Maeve Hutchinson, Radu Jianu, Aidan Slingsby, Pranava Madhyastha
2024	—	`ed.`	Neural-Symbolic Learning and Reasoning - 18th International Conference, NeSy 2024, Barcelona, Spain, September 9-12, 2024, Proceedings, Part I NeSy (1) Tarek R. Besold, Artur d'Avila Garcez, Ernesto Jiménez-Ruiz, Roberto Confalonieri, Pranava Madhyastha, Benedikt Wagner
2024	—	`ed.`	Neural-Symbolic Learning and Reasoning - 18th International Conference, NeSy 2024, Barcelona, Spain, September 9-12, 2024, Proceedings, Part II NeSy (2) Tarek R. Besold, Artur d'Avila Garcez, Ernesto Jiménez-Ruiz, Roberto Confalonieri, Pranava Madhyastha, Benedikt Wagner
2024	A*	`conf`	Towards Holistic, Pragmatic and Multimodal Conversational Systems. AAAI Pranava Madhyastha
2023	J	`jnl`	A study towards contextual understanding of toxicity in online conversations. Nat. Lang. Eng. Pranava Madhyastha, Antigoni Founta, Lucia Specia
2023	B	`conf`	Are words equally surprising in audio and audio-visual comprehension? CogSci Pranava Madhyastha, Ye Zhang, Gabriella Vigliocco
2023	J	`jnl`	Are words equally surprising in audio and audio-visual comprehension? CoRR Pranava Madhyastha, Ye Zhang, Gabriella Vigliocco
2023	—	`conf`	Formal and Empirical Studies of Counting Behaviour in ReLU RNNs. ICGI Nadine El-Naggar, Andrew Ryzhikov, Laure Daviaud, Pranava Madhyastha, Tillman Weyde
2023	—	`conf`	Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. EACL (Student Research Workshop) Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
2023	J	`jnl`	Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. CoRR Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
2023	J	`jnl`	Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations. CoRR Xinyu Liu, Yan Ding, Kaikai An, Chunyang Xiao, Pranava Madhyastha, Tong Xiao, Jingbo Zhu
2023	—	`conf`	Towards Visualisation Specifications from Multilingual Natural Language Queries using Large Language Models. EuroVis (Posters) Maeve Hutchinson, Aidan Slingsby, Radu Jianu, Pranava Madhyastha
2023	—	`conf`	Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. EACL (Findings) Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha
2023	J	`jnl`	Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. CoRR Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha
2023	A	`conf`	Towards preserving word order importance through Forced Invalidation. EACL Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
2023	J	`jnl`	Towards preserving word order importance through Forced Invalidation. CoRR Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
2022	B	`conf`	Belief Revision Based Caption Re-ranker with Visual Semantic Information. COLING Ahmed Sabir, Francesc Moreno-Noguer, Pranava Madhyastha, Lluís Padró
2022	J	`jnl`	Belief Revision based Caption Re-ranker with Visual Semantic Information. CoRR Ahmed Sabir, Francesc Moreno-Noguer, Pranava Madhyastha, Lluís Padró
2022	A	`conf`	Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. ICWSM Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos
2022	J	`jnl`	Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. CoRR Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos
2022	—	`conf`	Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks. HLC Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
2022	J	`jnl`	Exploring the Long-Term Generalization of Counting Behavior in RNNs. CoRR Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde
2022	—	`conf`	Towards Integration of Embodiment Features for Prosodic Prominence Prediction from Text. ICMI Companion Pranava Madhyastha
2021	—	`conf`	A Focused Analysis of Twitter-based Disinformation from Foreign Influence Operations. KnOD@WWW Julio Amador Díaz López, Pranava Madhyastha
2021	J	`jnl`	A call for better unit testing for invariant risk minimisation. CoRR Chunyang Xiao, Pranava Madhyastha
2021	J	`jnl`	BERTGEN: Multi-task Generation through BERT. CoRR Faidon Mitzalis, Ozan Caglayan, Pranava Madhyastha, Lucia Specia
2021	—	`conf`	BERTGen: Multi-task Generation through BERT. ACL/IJCNLP (1) Faidon Mitzalis, Ozan Caglayan, Pranava Madhyastha, Lucia Specia
2021	A	`conf`	Cross-lingual Visual Pre-training for Multimodal Machine Translation. EACL Ozan Caglayan, Menekse Kuyu, Mustafa Sercan Amac, Pranava Madhyastha, Erkut Erdem, Aykut Erdem, Lucia Specia
2021	J	`jnl`	Cross-lingual Visual Pre-training for Multimodal Machine Translation. CoRR Ozan Caglayan, Menekse Kuyu, Mustafa Sercan Amac, Pranava Madhyastha, Erkut Erdem, Aykut Erdem, Lucia Specia
2021	—	`conf`	Discrete Reasoning Templates for Natural Language Understanding. EACL (Student Research Workshop) Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
2021	J	`jnl`	Discrete Reasoning Templates for Natural Language Understanding. CoRR Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
2021	A	`conf`	Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. EACL Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia
2021	J	`jnl`	Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. CoRR Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia
2021	J	`jnl`	Leveraging auxiliary image descriptions for dense video captioning. Pattern Recognit. Lett. Emre Boran, Aykut Erdem, Nazli Ikizler-Cinbis, Erkut Erdem, Pranava Madhyastha, Lucia Specia
2021	J	`jnl`	MSVD-Turkish: a comprehensive multimodal video dataset for integrated vision and language research in Turkish. Mach. Transl. Begum Citamak, Ozan Caglayan, Menekse Kuyu, Erkut Erdem, Aykut Erdem, Pranava Madhyastha, Lucia Specia
2021	J	`jnl`	MultiSubs: A Large-scale Multimodal and Multilingual Dataset. CoRR Josiah Wang, Pranava Madhyastha, Josiel Figueiredo, Chiraag Lala, Lucia Specia
2021	—	`conf`	Numerical reasoning in machine reading comprehension tasks: are we there yet? EMNLP (1) Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
2021	J	`jnl`	Numerical reasoning in machine reading comprehension tasks: are we there yet? CoRR Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo
2021	J	`jnl`	Read, spot and translate. Mach. Transl. Lucia Specia, Josiah Wang, Sun Jae Lee, Alissa Ostapenko, Pranava Madhyastha
2020	J	`jnl`	A Tweet-based Dataset for Company-Level Stock Return Prediction. CoRR Karolina Sowinska, Pranava Madhyastha
2020	B	`conf`	Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale. COLING Ozan Caglayan, Pranava Madhyastha, Lucia Specia
2020	J	`jnl`	Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale. CoRR Ozan Caglayan, Pranava Madhyastha, Lucia Specia
2020	A	`conf`	Deciding When, How and for Whom to Simplify. ECAI Carolina Scarton, Pranava Madhyastha, Lucia Specia
2020	J	`jnl`	Grounded Sequence to Sequence Transduction. IEEE J. Sel. Top. Signal Process. Lucia Specia, Loïc Barrault, Ozan Caglayan, Amanda Cardoso Duarte, Desmond Elliott, Spandana Gella, Nils Holzenberger, Chiraag Lala, Sun Jae Lee, Jindrich Libovický, Pranava Madhyastha, Florian Metze, Karl Mulligan, Alissa Ostapenko, Shruti Palaskar, Ramon Sanabria, Josiah Wang, Raman Arora
2020	J	`jnl`	MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish. CoRR Begum Citamak, Ozan Caglayan, Menekse Kuyu, Erkut Erdem, Aykut Erdem, Pranava Madhyastha, Lucia Specia
2020	—	`conf`	Simultaneous Machine Translation with Visual Context. EMNLP (1) Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia
2020	J	`jnl`	Simultaneous Machine Translation with Visual Context. CoRR Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loïc Barrault, Lucia Specia
2019	—	`conf`	Deep Copycat Networks for Text-to-Text Generation. EMNLP/IJCNLP (1) Julia Ive, Pranava Madhyastha, Lucia Specia
2019	—	`conf`	Distilling Translations with Visual Awareness. ACL (1) Julia Ive, Pranava Madhyastha, Lucia Specia
2019	J	`jnl`	Distilling Translations with Visual Awareness. CoRR Julia Ive, Pranava Madhyastha, Lucia Specia
2019	J	`jnl`	Imperial College London Submission to VATEX Video Captioning Task. CoRR Ozan Caglayan, Zixiu Wu, Pranava Madhyastha, Josiah Wang, Lucia Specia
2019	Misc	`conf`	Learning from Multiview Correlations in Open-domain Videos. ICASSP Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora
2019	J	`jnl`	Model Explanations under Calibration. CoRR Rishabh Jain, Pranava Madhyastha
2019	B	`conf`	On Model Stability as a Function of Random Seed. CoNLL Pranava Madhyastha, Rishabh Jain
2019	J	`jnl`	On Model Stability as a Function of Random Seed. CoRR Pranava Madhyastha, Rishabh Jain
2019	J	`jnl`	Predicting Actions to Help Predict Translations. CoRR Zixiu Wu, Julia Ive, Josiah Wang, Pranava Madhyastha, Lucia Specia
2019	J	`jnl`	Probing Representations Learned by Multimodal Recurrent and Transformer Models. CoRR Jindrich Libovický, Pranava Madhyastha
2019	—	`conf`	Probing the Need for Visual Context in Multimodal Machine Translation. NAACL-HLT (1) Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault
2019	J	`jnl`	Probing the Need for Visual Context in Multimodal Machine Translation. CoRR Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loïc Barrault
2019	—	`conf`	VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions. ACL (1) Pranava Madhyastha, Josiah Wang, Lucia Specia
2019	J	`jnl`	VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions. CoRR Pranava Madhyastha, Josiah Wang, Lucia Specia
2019	—	`conf`	WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation. WMT (2) Julian Chow, Lucia Specia, Pranava Madhyastha
2018	J	`jnl`	Learning from Multiview Correlations in Open-Domain Videos. CoRR Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora
2018	J	`jnl`	Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI. CoRR Yusuf H. Roohani, Noor Sajid, Pranava Madhyastha, Cathy J. Price, Thomas M. H. Hope
2017	—	`conf`	Exploring Hypotheses Spaces in Neural Machine Translation. MTSummit (1) Frédéric Blain, Lucia Specia, Pranava Madhyastha
2017	J	`jnl`	Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation. Prague Bull. Math. Linguistics Chiraag Lala, Pranava Madhyastha, Josiah Wang, Lucia Specia