collaborators

9 papers

cs.CL2026

SurakshaEval: An Indic Safety Benchmark for Multilingual LLMs

Debopriyo Banerjee, Kapil Rajesh Kavitha, Angana Borah +11

Existing safety evaluation datasets for large language models (LLMs) predominantly focus on English and Western contexts, often overlooking the linguistic diversity and culturally…

cs.CL2026

FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning

Zhuohan Xie, Daniil Orel, Rushil Thareja +22

Multi-step symbolic reasoning is essential for robust financial analysis; yet, current benchmarks largely overlook this capability. Existing datasets such as FinQA and ConvFinQA em…

cs.CL2026

Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models

Dhruv Sahnan, Subhabrata Dutta, Tanmoy Chakraborty +2

Professional fact-checkers rely on domain knowledge and deep contextual understanding to verify claims. Large language models (LLMs) and large reasoning models (LRMs) lack such gro…

cs.CL2026

The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking

Julia Maria Struß, Sebastian Schellhammer, Stefan Dietze +9

The CheckThat! lab aims to advance the development of innovative technologies combating disinformation and manipulation efforts in online communication across a multitude of langua…

cs.CL2026

Can LLMs Automate Fact-Checking Article Writing?

Dhruv Sahnan, David Corney, Irene Larraz +7

Automatic fact-checking aims to support professional fact-checkers by offering tools that can help speed up manual fact-checking. Yet, existing frameworks fail to address the key s…

cs.CL2025

FRaN-X: FRaming and Narratives-eXplorer

Artur Muratov, Hana Fatima Shaikh, Vanshikaa Jani +21

We present FRaN-X, a Framing and Narratives Explorer that automatically detects entity mentions and classifies their narrative roles directly from raw text. FRaN-X comprises a two-…