Yash Kumar Lal

31 papers A* 3Journal 15Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
DIAMONDs: A Dataset for
CoRR
Sayontan Ghosh, Mahnaz Koupaee, Yash Kumar Lal, Pegah Alipoormolabashi, Mohammad Saqib Hasan, Jun Seok Kang, Niranjan Balasubramanian
2025 J jnl
ISO-Bench: Benchmarking Multimodal Causal Reasoning in Visual-Language Models through Procedural Plans.
CoRR
Ananya Sadana, Yash Kumar Lal, Jiawei Zhou
2025 — conf
MuSciClaims: Multimodal Scientific Claim Verification.
IJCNLP-AACL (long papers)
Yash Kumar Lal, Manikanta Bandham, Mohammad Saqib Hasan, Apoorva Kashi, Mahnaz Koupaee, Niranjan Balasubramanian
2025 J jnl
MuSciClaims: Multimodal Scientific Claim Verification.
CoRR
Yash Kumar Lal, Manikanta Bandham, Mohammad Saqib Hasan, Apoorva Kashi, Mahnaz Koupaee, Niranjan Balasubramanian
2024 J jnl
Automated Adversarial Discovery for Safety Classifiers.
CoRR
Yash Kumar Lal, Preethi Lahoti, Aradhana Sinha, Yao Qin, Ananth Balashankar
2024 J jnl
CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans.
CoRR
Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond Mooney
2024 A* conf
CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans.
EMNLP
Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond J. Mooney
2024 J jnl
Can Stories Help LLMs Reason? Curating Information Space Through Narrative.
CoRR
Vahid Sadiri Javadi, Johanne R. Trippas, Yash Kumar Lal, Lucie Flek
2024 J jnl
Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis.
CoRR
Adithya V. Ganesan, Vasudha Varadarajan, Yash Kumar Lal, Veerle C. Eijsbroek, Katarina Kjell, Oscar N. E. Kjell, Tanuja Dhanasekaran, Elizabeth C. Stade, Johannes C. Eichstaedt, Ryan L. Boyd, H. Andrew Schwartz, Lucie Flek
2024 — conf
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks.
EACL (2)
Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz
2024 J jnl
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks.
CoRR
Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz
2024 — conf
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization.
ACL (Findings)
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
2023 — conf
Evaluating Paraphrastic Robustness in Textual Entailment Models.
ACL (2)
Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak
2023 J jnl
Evaluating Paraphrastic Robustness in Textual Entailment Models.
CoRR
Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak
2023 J jnl
One Size Does Not Fit All: Customizing Open-Domain Procedures.
CoRR
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
2023 — conf
SAGEViz: SchemA GEneration and Visualization.
EMNLP (Demos)
Sugam Devare, Mahnaz Koupaee, Gautham Gunapati, Sayontan Ghosh, Sai Vallurupalli, Yash Kumar Lal, Francis Ferraro, Nathanael Chambers, Greg Durrett, Raymond J. Mooney, Katrin Erk, Niranjan Balasubramanian
2023 — conf
Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation.
WASSA@ACL
Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz
2023 J jnl
Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation.
CoRR
Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz
2022 A* conf
Using Commonsense Knowledge to Answer Why-Questions.
EMNLP
Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
2021 — conf
IrEne-viz: Visualizing Energy Consumption of Transformer Models.
EMNLP (Demos)
Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian
2021 — conf
IrEne: Interpretable Energy Prediction for Transformers.
ACL/IJCNLP (1)
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
2021 J jnl
IrEne: Interpretable Energy Prediction for Transformers.
CoRR
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
2021 — conf
TellMeWhy: A Dataset for Answering Why-Questions in Narratives.
ACL/IJCNLP (Findings)
Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
2021 J jnl
TellMeWhy: A Dataset for Answering Why-Questions in Narratives.
CoRR
Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
2020 — conf
Temporal Reasoning in Natural Language Inference.
EMNLP (Findings)
Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White
2019 — conf
De-Mixing Sentiment from Code-Mixed Text.
ACL (2)
Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn
2019 — conf
Johns Hopkins University Submission for WMT News Translation Task.
WMT (2)
Kelly Marchisio, Yash Kumar Lal, Philipp Koehn
2018 — conf
Check It Out : Politics and Neural Networks.
CLEF (Working Notes)
Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma
2018 A* conf
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks.
SIGIR
Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma
2018 J jnl
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection.
CoRR
Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma
2017 J jnl
A Neural Clickbait Detection Engine.
CoRR
Siddhartha Gairola, Yash Kumar Lal, Vaibhav Kumar, Dhruv Khattar