Yash Kumar Lal

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Biomedical Text

Temporal Dependencies

Commonsense Knowledge

Top Venues

Publications

Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. EACL (2) (2024)
Yash Kumar Lal, Preethi Lahoti, Aradhana Sinha, Yao Qin, Ananth Balashankar
Automated Adversarial Discovery for Safety Classifiers. CoRR (2024)
Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Raymond Mooney
CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans. CoRR (2024)
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization. ACL (Findings) (2024)
Gourab Dey, Adithya V. Ganesan, Yash Kumar Lal, Manal Shah, Shreyashee Sinha, Matthew Matero, Salvatore Giorgi, Vivek Kulkarni, H. Andrew Schwartz
SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks. CoRR (2024)
Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz
Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. WASSA@ACL (2023)
Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak
Evaluating Paraphrastic Robustness in Textual Entailment Models. ACL (2) (2023)
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
SAGEViz: SchemA GEneration and Visualization. EMNLP (Demos) (2023)
Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz
Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. CoRR (2023)
Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon
One Size Does Not Fit All: Customizing Open-Domain Procedures. CoRR (2023)
Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak
Evaluating Paraphrastic Robustness in Textual Entailment Models. CoRR (2023)
Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian
Using Commonsense Knowledge to Answer Why-Questions. EMNLP (2022)
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
IrEne: Interpretable Energy Prediction for Transformers. CoRR (2021)
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
IrEne: Interpretable Energy Prediction for Transformers. ACL/IJCNLP (1) (2021)
Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, Niranjan Balasubramanian
TellMeWhy: A Dataset for Answering Why-Questions in Narratives. CoRR (2021)
Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian
IrEne-viz: Visualizing Energy Consumption of Transformer Models. EMNLP (Demos) (2021)
Yash Kumar Lal, Nathanael Chambers, Raymond Mooney, Niranjan Balasubramanian
TellMeWhy: A Dataset for Answering Why-Questions in Narratives. ACL/IJCNLP (Findings) (2021)
Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White
Temporal Reasoning in Natural Language Inference. EMNLP (Findings) (2020)
Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn
De-Mixing Sentiment from Code-Mixed Text. ACL (2) (2019)
Kelly Marchisio, Yash Kumar Lal, Philipp Koehn
Johns Hopkins University Submission for WMT News Translation Task. WMT (2) (2019)
Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. SIGIR (2018)
Vaibhav Kumar, Mrinal Dhar, Dhruv Khattar, Yash Kumar Lal, Abhimanshu Mishra, Manish Shrivastava, Vasudeva Varma
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection. CoRR (2018)
Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma
Check It Out : Politics and Neural Networks. CLEF (Working Notes) (2018)
Siddhartha Gairola, Yash Kumar Lal, Vaibhav Kumar, Dhruv Khattar
A Neural Clickbait Detection Engine. CoRR (2017)