most citedAutomated Argument Generation from Legal Facts

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Decoupling Internal Representational Changes and Causal Importance in Fine-Tuned Large Language Models

Lingfang Li, Procheta Sen, Shubham Das +1

Fine-tuning has emerged as a widely adopted approach for adapting LLMs to a variety of downstream tasks. However, how it reshapes their internal mechanisms remains poorly understoo…

cs.LG2026

Analyzing the Effect of Noise in LLM Fine-tuning

Lingfang Li, Procheta Sen

Fine-tuning is the dominant paradigm for adapting pretrained large language models (LLMs) to downstream NLP tasks. In practice, fine-tuning datasets may contain various forms of no…

cs.IR2023

Automated Attribute Extraction from Legal Proceedings

Subinay Adhikary, Sagnik Das, Sagnik Saha +3

The escalating number of pending cases is a growing concern world-wide. Recent advancements in digitization have opened up possibilities for leveraging artificial intelligence (AI)…

cs.CL2023

Can Word Sense Distribution Detect Semantic Changes of Words?

Xiaohang Tang, Yi Zhou, Taichi Aida +2

Semantic Change Detection (SCD) of words is an important task for various NLP applications that must make time-sensitive predictions. Some words are used over time in novel ways to…

cs.CL2023★ 1 cited

Lexical Entrainment for Conversational Systems

Zhengxiang Shi, Procheta Sen, Aldo Lipani

Conversational agents have become ubiquitous in assisting with daily tasks, and are expected to possess human-like features. One such feature is lexical entrainment (LE), a phenome…

cs.AI2023★ 2 cited

Automated Argument Generation from Legal Facts

Oscar Tuvey, Procheta Sen

The count of pending cases has shown an exponential rise across nations (e.g., with more than 10 million pending cases in India alone). The main issue lies in the fact that the num…

cs.LG2023

LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class

Hongbo Zhu, Angelo Cangelosi, Procheta Sen +1

In this work, we instantiate a novel perturbation-based multi-class explanation framework, LIPEx (Locally Interpretable Probabilistic Explanation). We demonstrate that LIPEx not on…