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20212026
most citedExplain and Predict, and then Predict Again

45 citations · 126 across the 22 of their papers we have counts for

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8 papers · 1 filter

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.CL2025

Think Right, Not More: Test-Time Scaling for Numerical Claim Verification

Primakov Chungkham, V Venktesh, Vinay Setty +1

Fact-checking real-world claims, particularly numerical claims, is inherently complex that require multistep reasoning and numerical reasoning for verifying diverse aspects of the…

cs.CL20241 cited

DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs

Venktesh V. Deepali Prabhu, Avishek Anand

Open-domain complex Question Answering (QA) is a difficult task with challenges in evidence retrieval and reasoning. The complexity of such questions could stem from questions bein…

cs.CL2024

QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims

Venktesh V, Abhijit Anand, Avishek Anand +1

Automated fact checking has gained immense interest to tackle the growing misinformation in the digital era. Existing systems primarily focus on synthetic claims on Wikipedia, and…

cs.CL2024

Temporal Blind Spots in Large Language Models

Jonas Wallat, Adam Jatowt, Avishek Anand

Large language models (LLMs) have recently gained significant attention due to their unparalleled ability to perform various natural language processing tasks. These models, benefi…

cs.CL20231 cited

In-Context Ability Transfer for Question Decomposition in Complex QA

Venktesh V, Sourangshu Bhattacharya, Avishek Anand

Answering complex questions is a challenging task that requires question decomposition and multistep reasoning for arriving at the solution. While existing supervised and unsupervi…