:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kumar, Gaurav, Garg, Ayush, Mazumder, Debajyoti, Kishore, Aditya, kumar, Babu, Patro, Jasabanta
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2505.15050
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SEEK: Semantic Evidence Extraction via Adaptive ChunKing for Multilingual Fact-Checking
by: Kumar, Babu, et al.
Published: (2026)

MultiCheck: Strengthening Web Trust with Unified Multimodal Fact Verification
by: Kishore, Aditya, et al.
Published: (2025)

Improving code-mixed hate detection by native sample mixing: A case study for Hindi-English code-mixed scenario
by: Mazumder, Debajyoti, et al.
Published: (2024)

Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection
by: Mazumder, Debajyoti, et al.
Published: (2024)

Mind the Links: Cross-Layer Attention for Link Prediction in Multiplex Networks
by: Sharma, Devesh, et al.
Published: (2025)

Neither Here Nor There: Cross-Lingual Representation Dynamics of Code-Mixed Text in Multilingual Encoders
by: Mazumder, Debajyoti, et al.
Published: (2026)

On VLMs for Diverse Tasks in Multimodal Meme Classification
by: Gavit, Deepesh, et al.
Published: (2025)

Evaluating Cross-lingual Knowledge Consistency in Code-Mixed vis-a-vis Indian Languages using IndicKLAR
by: Mazumder, Debajyoti, et al.
Published: (2026)

EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion
by: Su, Ying, et al.
Published: (2024)

FactSim: Fact-Checking for Opinion Summarization
by: Anghinoni, Leandro, et al.
Published: (2026)

Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition
by: Greco, Candida M., et al.
Published: (2024)

Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
by: Saju, Lorraine, et al.
Published: (2025)

All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media
by: Patro, Jasabanta, et al.
Published: (2017)

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph
by: Wang, Zhaowei, et al.
Published: (2023)

ClaimCheck: Real-Time Fact-Checking with Small Language Models
by: Putta, Akshith Reddy, et al.
Published: (2025)

LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models
by: Tran, Hieu, et al.
Published: (2024)

Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning
by: Singh, Ayush, et al.
Published: (2024)

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
by: He, Jiayi, et al.
Published: (2025)

Employing Label Models on ChatGPT Answers Improves Legal Text Entailment Performance
by: Nguyen, Chau, et al.
Published: (2024)

Generative Large Language Models in Automated Fact-Checking: A Survey
by: Vykopal, Ivan, et al.
Published: (2024)

Automated Fact-Checking of Climate Change Claims with Large Language Models
by: Leippold, Markus, et al.
Published: (2024)

Large Language Models for Multilingual Previously Fact-Checked Claim Detection
by: Vykopal, Ivan, et al.
Published: (2025)

Entailment-Preserving First-order Logic Representations in Natural Language Entailment
by: Lee, Jinu, et al.
Published: (2025)

TIFIN India at SemEval-2025: Harnessing Translation to Overcome Multilingual IR Challenges in Fact-Checked Claim Retrieval
by: Devadiga, Prasanna, et al.
Published: (2025)

(Fact) Check Your Bias
by: Bakke, Eivind Morris, et al.
Published: (2025)

Towards Reasoning Ability of Small Language Models
by: Srivastava, Gaurav, et al.
Published: (2025)

Entailed Between the Lines: Incorporating Implication into NLI
by: Havaldar, Shreya, et al.
Published: (2025)

Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?
by: Beigi, Alimohammad, et al.
Published: (2024)

Give Me More Details: Improving Fact-Checking with Latent Retrieval
by: Hu, Xuming, et al.
Published: (2023)

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
by: Yang, Shuo, et al.
Published: (2025)

Multimodal Large Language Models to Support Real-World Fact-Checking
by: Geng, Jiahui, et al.
Published: (2024)

Fact-Checking with Large Language Models via Probabilistic Certainty and Consistency
by: Wang, Haoran, et al.
Published: (2026)

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
by: Li, Miaoran, et al.
Published: (2023)

Towards Comprehensive Stage-wise Benchmarking of Large Language Models in Fact-Checking
by: Lin, Hongzhan, et al.
Published: (2026)

Evaluating Large Language Model Capability in Vietnamese Fact-Checking Data Generation
by: To, Long Truong, et al.
Published: (2024)

Do We Need Language-Specific Fact-Checking Models? The Case of Chinese
by: Zhang, Caiqi, et al.
Published: (2024)

UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
by: Ahmad, Sarfraz, et al.
Published: (2025)

TrendFact: A Benchmark for Explainable Hotspot Perception in Fact-Checking with Natural Language Explanation
by: Zhang, Xiaocheng, et al.
Published: (2024)

Contrastive Learning to Improve Retrieval for Real-world Fact Checking
by: Sriram, Aniruddh, et al.
Published: (2024)

GraphCheck: Multipath Fact-Checking with Entity-Relationship Graphs
by: Jeon, Hyewon, et al.
Published: (2025)