Yash Kumar Lal

According to our database1, Yash Kumar Lal authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Can Stories Help LLMs Reason? Curating Information Space Through Narrative.
CoRR, 2024

Automated Adversarial Discovery for Safety Classifiers.
CoRR, 2024

CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks.
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.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
One Size Does Not Fit All: Customizing Open-Domain Procedures.
CoRR, 2023

Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

SAGEViz: SchemA GEneration and Visualization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Evaluating Paraphrastic Robustness in Textual Entailment Models.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
IrEne-viz: Visualizing Energy Consumption of Transformer Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

TellMeWhy: A Dataset for Answering Why-Questions in Narratives.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

IrEne: Interpretable Energy Prediction for Transformers.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Johns Hopkins University Submission for WMT News Translation Task.
Proceedings of the Fourth Conference on Machine Translation, 2019

De-Mixing Sentiment from Code-Mixed Text.
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.
CoRR, 2018

Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Check It Out : Politics and Neural Networks.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
A Neural Clickbait Detection Engine.
CoRR, 2017


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