A Neural Clickbait Detection Engine. - Siddhartha Gairola; Yash Kumar Lal; Vaibhav Kumar; Dhruv Khattar (CoRR, 2017)

Check It Out : Politics and Neural Networks. - Yash Kumar Lal; Dhruv Khattar; Vaibhav Kumar; Abhimanshu Mishra; Vasudeva Varma (CLEF (Working Notes), 2018)

Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. - Vaibhav Kumar; Dhruv Khattar; Siddhartha Gairola; Yash Kumar Lal; Vasudeva Varma (SIGIR, 2018)

SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection. - Vaibhav Kumar; Mrinal Dhar; Dhruv Khattar; Yash Kumar Lal; Abhimanshu Mishra; Manish Shrivastava 001; Vasudeva Varma (CoRR, 2018)

De-Mixing Sentiment from Code-Mixed Text. - Yash Kumar Lal; Vaibhav Kumar; Mrinal Dhar; Manish Shrivastava 001; Philipp Koehn (ACL (2), 2019)

Johns Hopkins University Submission for WMT News Translation Task. - Kelly Marchisio; Yash Kumar Lal; Philipp Koehn (WMT (2), 2019)

Temporal Reasoning in Natural Language Inference. - Siddharth Vashishtha; Adam Poliak; Yash Kumar Lal; Benjamin Van Durme; Aaron Steven White (EMNLP (Findings), 2020)

IrEne: Interpretable Energy Prediction for Transformers. - Qingqing Cao; Yash Kumar Lal; Harsh Trivedi; Aruna Balasubramanian; Niranjan Balasubramanian (ACL/IJCNLP (1), 2021)

TellMeWhy: A Dataset for Answering Why-Questions in Narratives. - Yash Kumar Lal; Nathanael Chambers; Raymond J. Mooney; Niranjan Balasubramanian (ACL/IJCNLP (Findings), 2021)

IrEne-viz: Visualizing Energy Consumption of Transformer Models. - Yash Kumar Lal; Reetu Singh; Harsh Trivedi; Qingqing Cao; Aruna Balasubramanian; Niranjan Balasubramanian (EMNLP (Demos), 2021)

Using Commonsense Knowledge to Answer Why-Questions. - Yash Kumar Lal; Niket Tandon; Tanvi Aggarwal; Horace Liu; Nathanael Chambers; Raymond J. Mooney; Niranjan Balasubramanian (EMNLP, 2022)

Evaluating Paraphrastic Robustness in Textual Entailment Models. - Dhruv Verma; Yash Kumar Lal; Shreyashee Sinha; Benjamin Van Durme; Adam Poliak (ACL (2), 2023)

SAGEViz: SchemA GEneration and Visualization. - 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 (EMNLP (Demos), 2023)

Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. - Adithya V. Ganesan; Yash Kumar Lal; August Håkan Nilsson; H. Andrew Schwartz (WASSA@ACL, 2023)

One Size Does Not Fit All: Customizing Open-Domain Procedures. - Yash Kumar Lal; Li Zhang 039; Faeze Brahman; Bodhisattwa Prasad Majumder; Peter Clark; Niket Tandon (CoRR, 2023)

Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization. - Yash Kumar Lal; Li Zhang 039; Faeze Brahman; Bodhisattwa Prasad Majumder; Peter Clark; Niket Tandon (ACL (Findings), 2024)

SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. - Gourab Dey; Adithya V. Ganesan; Yash Kumar Lal; Manal Shah; Shreyashee Sinha; Matthew Matero; Salvatore Giorgi; Vivek Kulkarni; H. Andrew Schwartz (EACL (2), 2024)

CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. - Yash Kumar Lal; Vanya Cohen; Nathanael Chambers; Niranjan Balasubramanian; Raymond J. Mooney (EMNLP, 2024)

Automated Adversarial Discovery for Safety Classifiers. - Yash Kumar Lal; Preethi Lahoti; Aradhana Sinha; Yao Qin 001; Ananth Balashankar (CoRR, 2024)

Can Stories Help LLMs Reason? Curating Information Space Through Narrative. - Vahid Sadiri Javadi; Johanne R. Trippas; Yash Kumar Lal; Lucie Flek (CoRR, 2024)

Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis. - 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 (CoRR, 2024)

DIAMONDs: A Dataset for Dynamic Information And Mental modeling Of Numeric Discussions. - Sayontan Ghosh; Mahnaz Koupaee; Yash Kumar Lal; Pegah Alipoormolabashi; Mohammad Saqib Hasan; Jun Seok Kang; Niranjan Balasubramanian (CoRR, 2025)

MuSciClaims: Multimodal Scientific Claim Verification. - Yash Kumar Lal; Manikanta Bandham; Mohammad Saqib Hasan; Apoorva Kashi; Mahnaz Koupaee; Niranjan Balasubramanian (CoRR, 2025)

ISO-Bench: Benchmarking Multimodal Causal Reasoning in Visual-Language Models through Procedural Plans. - Ananya Sadana; Yash Kumar Lal; Jiawei Zhou (CoRR, 2025)