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Yash Kumar Lal
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2020 – today
- 2024
- [c14]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: 15597-15611 - [c13]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: 454-468 - [i10]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 abs/2402.01980 (2024) - [i9]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 abs/2406.15823 (2024) - [i8]Yash Kumar Lal, Preethi Lahoti, Aradhana Sinha, Yao Qin, Ananth Balashankar:
Automated Adversarial Discovery for Safety Classifiers. CoRR abs/2406.17104 (2024) - 2023
- [c12]Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak:
Evaluating Paraphrastic Robustness in Textual Entailment Models. ACL (2) 2023: 880-892 - [c11]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: 328-335 - [c10]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: 390-400 - [i7]Adithya V. Ganesan, Yash Kumar Lal, August Håkan Nilsson, H. Andrew Schwartz:
Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation. CoRR abs/2306.01183 (2023) - [i6]Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, Adam Poliak:
Evaluating Paraphrastic Robustness in Textual Entailment Models. CoRR abs/2306.16722 (2023) - [i5]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 abs/2311.09510 (2023) - 2022
- [c9]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: 1204-1219 - 2021
- [c8]Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian:
TellMeWhy: A Dataset for Answering Why-Questions in Narratives. ACL/IJCNLP (Findings) 2021: 596-610 - [c7]Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian:
IrEne: Interpretable Energy Prediction for Transformers. ACL/IJCNLP (1) 2021: 2145-2157 - [c6]Yash Kumar Lal, Reetu Singh, Harsh Trivedi, Qingqing Cao, Aruna Balasubramanian, Niranjan Balasubramanian:
IrEne-viz: Visualizing Energy Consumption of Transformer Models. EMNLP (Demos) 2021: 251-258 - [i4]Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian:
IrEne: Interpretable Energy Prediction for Transformers. CoRR abs/2106.01199 (2021) - [i3]Yash Kumar Lal, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian:
TellMeWhy: A Dataset for Answering Why-Questions in Narratives. CoRR abs/2106.06132 (2021) - 2020
- [c5]Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, Benjamin Van Durme, Aaron Steven White:
Temporal Reasoning in Natural Language Inference. EMNLP (Findings) 2020: 4070-4078
2010 – 2019
- 2019
- [c4]Yash Kumar Lal, Vaibhav Kumar, Mrinal Dhar, Manish Shrivastava, Philipp Koehn:
De-Mixing Sentiment from Code-Mixed Text. ACL (2) 2019: 371-377 - [c3]Kelly Marchisio, Yash Kumar Lal, Philipp Koehn:
Johns Hopkins University Submission for WMT News Translation Task. WMT (2) 2019: 287-293 - 2018
- [c2]Yash Kumar Lal, Dhruv Khattar, Vaibhav Kumar, Abhimanshu Mishra, Vasudeva Varma:
Check It Out : Politics and Neural Networks. CLEF (Working Notes) 2018 - [c1]Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, Vasudeva Varma:
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks. SIGIR 2018: 1225-1228 - [i2]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 abs/1808.00957 (2018) - 2017
- [i1]Siddhartha Gairola, Yash Kumar Lal, Vaibhav Kumar, Dhruv Khattar:
A Neural Clickbait Detection Engine. CoRR abs/1710.01507 (2017)
Coauthor Index
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last updated on 2024-09-26 01:58 CEST by the dblp team
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