Papers by Xinjie Chen

3 papers
Travel on the ICD Tree: Benchmarking Agentic Reasoning for ICD Coding from Chinese Electronic Medical Records (2026.findings-acl)

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Challenge: Accurate International Classification of Diseases (ICD) coding is crucial for hospital management and healthcare data governance.
Approach: They propose a framework to evaluate ICD coding based on complete EMRs . they use a dataset of 560 real clinical records covering 434 common diseases .
Outcome: The proposed framework explores the capability boundaries of large language models under different paradigms.
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA (2025.emnlp-main)

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Challenge: Multi-hop question answering (QA) is a central challenge in natural language processing . early mistakes can cause errors and undermine the final result, authors say .
Approach: They propose a reversible multi-agent reasoning framework that backtracks to earlier valid states when conflicts arise.
Outcome: Empirical evaluation shows that the framework improves on forward-only benchmarks by 6% . the approach enables agents to backtrack to valid states when conflicts arise .
From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization (2026.acl-long)

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Challenge: Reinforcement learning with verifiable rewards (RLVR) has recently advanced the reasoning capabilities of large language models (LLMs).
Approach: They propose a method that incorporates partial solution prefixes from expert demonstrations to guide the policy.
Outcome: The proposed methods outperform strong baselines, yielding faster convergence and a higher performance ceiling.

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