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20222026
most citedpathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy

14 citations · 40 across the 31 of their papers we have counts for

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8 papers · 1 filter

cs.CL2026

Visualizing Graph-to-Answer Mechanism Recovery in Materials-Science Hypothesis Generation

Shashwat Sourav, Subhadeep Pal, Markus J. Buehler +4

AI co-scientists can generate fluent materials-science hypotheses, but fluency does not show that an answer preserves a scientifically meaningful mechanism. We present a graph-to-a…

cs.CL2025

Findings of the Third Automatic Minuting (AutoMin) Challenge

Kartik Shinde, Laurent Besacier, Ondrej Bojar +2

This paper presents the third edition of AutoMin, a shared task on automatic meeting summarization into minutes. In 2025, AutoMin featured the main task of minuting, the creation o…

cs.CL2025★ 9 cited

A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions

Agada Joseph Oche, Ademola Glory Folashade, Tirthankar Ghosal +1

Retrieval-Augmented Generation (RAG) represents a major advancement in natural language processing (NLP), combining large language models (LLMs) with information retrieval systems…

cs.CL2025★ 1 cited

Sparks of Science: Hypothesis Generation Using Structured Paper Data

Charles O'Neill, Tirthankar Ghosal, Roberta Răileanu +4

Generating novel and creative scientific hypotheses is a cornerstone in achieving Artificial General Intelligence. Large language and reasoning models have the potential to aid in…

cs.CL2025★ 2 cited

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models

Atilla Kaan Alkan, Shashwat Sourav, Maja Jablonska +14

Hypothesis generation is a fundamental step in scientific discovery, yet it is increasingly challenged by information overload and disciplinary fragmentation. Recent advances in La…

cs.CL2024

'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews

Sandeep Kumar, Mohit Sahu, Vardhan Gacche +2

The integrity of the peer-review process is vital for maintaining scientific rigor and trust within the academic community. With the steady increase in the usage of large language…

cs.CL2024★ 2 cited

Can Large Language Models Unlock Novel Scientific Research Ideas?

Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal +1

The widespread adoption of Large Language Models (LLMs) and publicly available ChatGPT have marked a significant turning point in the integration of Artificial Intelligence (AI) in…

cs.CL2022★ 3 cited

RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verification

Ashish Rana, Deepanshu Khanna, Tirthankar Ghosal +3

Exponential growth in digital information outlets and the race to publish has made scientific misinformation more prevalent than ever. However, the task to fact-verify a given scie…