Paper-Conference

Automatic Fact-checking in English and Telugu
False information poses a significant global challenge, and manually verifying claims is a time-consuming and resource-intensive …
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dfkinit2b at CheckThat! 2025: Leveraging LLMs and Ensemble of Methods for Multilingual Claim Normalization
The rapid spread of misinformation on social media across languages presents a major challenge for fact-checking efforts. Social media …
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Cross-Lingual Fact Verification: Analyzing LLMs Performance Patterns Across Languages
Fact verification has emerged as a critical task in combating misinformation, yet most research remains focused on English-language …
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When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification
The rapid spread of multilingual misinformation requires robust automated fact verification systems capable of handling fine-grained …
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Only for the Unseen Languages, Say the Llamas: On the Efficacy of Language Adapters for Cross-lingual Transfer in English-centric LLMs
Most state-of-the-art large language models (LLMs) are trained mainly on English data, limiting their effectiveness on non-English, …
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Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution
In this work, we reimagine classical probing to evaluate knowledge transfer from simple source to more complex target tasks. Instead of …
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GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph Knowledge
Contextualized embeddings based on large language models (LLMs) are available for various languages, but their coverage is often …
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GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph Knowledge
Soft Language Prompts for Language Transfer
Cross-lingual knowledge transfer, especially between high- and low-resource languages, remains challenging in natural language …
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Soft Language Prompts for Language Transfer
Enabling Low-Resource Language Retrieval: Establishing Baselines for Urdu MS MARCO
As the Information Retrieval (IR) field increasingly recognizes the importance of inclusivity, addressing the needs of low-resource …
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Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
Natural language explanations (NLEs) are vital for elucidating the reasoning behind large language model (LLM) decisions. Many …
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