Yash Kumar Lal

According to our database, Yash Kumar Lal authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated Adversarial Discovery for Safety Classifiers.

Yash Kumar Lal, Preethi Lahoti, Aradhana Sinha, Yao Qin, Ananth Balashankar

CoRR, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization.

Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

One Size Does Not Fit All: Customizing Open-Domain Procedures.

Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon

CoRR, 2023

Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation.

Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Evaluating Paraphrastic Robustness in Textual Entailment Models.

Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Using Commonsense Knowledge to Answer Why-Questions.

Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

IrEne-viz: Visualizing Energy Consumption of Transformer Models.

Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

TellMeWhy: A Dataset for Answering Why-Questions in Narratives.

Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

IrEne: Interpretable Energy Prediction for Transformers.

Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Temporal Reasoning in Natural Language Inference.

Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Johns Hopkins University Submission for WMT News Translation Task.

Kelly Marchisio, Yash Kumar Lal, Philipp Koehn

Proceedings of the Fourth Conference on Machine Translation, 2019

De-Mixing Sentiment from Code-Mixed Text.

Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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, Vasudeva Varma

CoRR, 2018

Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks.

Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Check It Out : Politics and Neural Networks.

Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma

Proceedings of the Working Notes of CLEF 2018, 2018

2017

A Neural Clickbait Detection Engine.

Siddhartha Gairola, Yash Kumar Lal, Vaibhav Kumar, Dhruv Khattar

CoRR, 2017