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Yash Kumar Lal

PhD Student @ Stony Brook University

evaluation

llm

causal knowledge

transformers

nlp

computational social science

summarization

entailment

natural language generation

gpt-3

qa

large language models

commonsense reasoning

zero shot

question answering

13

presentations

5

number of views

SHORT BIO

Yash Kumar Lal is a PhD candidate at Stony Brook University advised by Niranjan Balasubramanian. He is interested in understanding various aspects of narratives and procedures using the lens of why questions. He is also interested in investigating and improving the personalization abilities of LLMs.

Presentations

CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans

Yash Kumar Lal and 4 other authors

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

Yash Kumar Lal and 5 other authors

Automated Adversarial Discovery for Safety Classifiers

Yash Kumar Lal and 4 other authors

SOCIALITE-LLAMA: An Instruction-Tuned Model for Social Scientific Tasks

Gourab Dey and 8 other authors

SAGEViz: SchemA GEneration and Visualization

Sugam Devare and 11 other authors

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

Adithya V Ganesan and 1 other author

Evaluating Paraphrastic Robustness in Textual Entailment Models

Dhruv Verma and 4 other authors

Using Commonsense Knowledge to Answer Why-Questions

Yash Kumar Lal and 6 other authors

Analyzing the Contribution of Commonsense Knowledge for Why-Question Answering

Yash Kumar Lal and 5 other authors

IrEne-viz: Visualizing Energy Consumption of Transformer Models

Yash Kumar Lal and 5 other authors

TellMeWhy: A Dataset for Answering Why-Questions in Narratives

Yash Kumar Lal and 3 other authors

IrEne: Interpretable Energy Prediction for Transformers

Qingqing Cao and 4 other authors

TellMeWhy: A Dataset for Answering Why-Questions in Narratives

Yash Kumar Lal and 3 other authors

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