Papers by Chelsi Jain

3 papers
InfoSync: Information Synchronization across Multilingual Semi-structured Tables (2023.findings-acl)

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Challenge: Information Synchronization of semi-structured data across languages is challenging . culture differences, topic preferences, and editing inconsistency lead to information mismatches .
Approach: They propose a method for tabular synchronization that uses information from Wikipedia tables in one language with tables in another language.
Outcome: The proposed method achieves an acceptance rate of 77.28% on Wikipedia . english articles across the web are more timely updated than other languages .
The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking (2025.emnlp-main)

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Challenge: Large Language Models (LLMs) have demonstrated strong performance in information retrieval tasks like passage ranking.
Approach: They propose two attacks that aim to force the LLM ranker to prefer a specific passage and rank it at the top.
Outcome: The proposed attacks aim to force the LLM ranker to prefer a specific passage and rank it at the top.
SimpleDoc: Multi‐Modal Document Understanding with Dual‐Cue Page Retrieval and Iterative Refinement (2025.emnlp-main)

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Challenge: Document Visual Question Answering (DocVQA) is a task to answer questions based on documents containing text, tables, and images.
Approach: They propose a lightweight retrieval framework that uses visual language models to embed and retrieve relevant pages as images and generate answers with VLMs that can accept an image as input.
Outcome: The proposed framework outperforms baselines by 3.2% on average on 4 DocVQA datasets with much fewer pages retrieved.

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