Papers by Haidong Xin

3 papers
LLMsPark: A Benchmark for Evaluating Large Language Models in Strategic Gaming Contexts (2025.findings-emnlp)

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Challenge: Large language models (LLMs) are increasingly important for their intelligence evaluation.
Approach: They propose a game theory-based evaluation platform that measures LLMs’ decision-making strategies and social behaviors in classic game-theoretic settings.
Outcome: The proposed system cross-evaluates 15 leading LLMs using leaderboard rankings and scoring mechanisms.
MetaMem: Evolving Meta-Memory for Knowledge Utilization through Self-Reflective Symbolic Optimization (2026.findings-acl)

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Challenge: Existing memory systems can support long-horizon human-LLM interactions by persisting historical interactions beyond limited context windows.
Approach: They propose a framework that augments memory systems with a self-evolving meta-memory . meta-meso is iteratively distilling transferable knowledge utilization experiences . results show MetaMem outperforms strong baselines by over 3.6% .
Outcome: The proposed framework outperforms baselines by over 3.6% in the long-horizon human-LLM interaction.
MMAD:Multi-modal Movie Audio Description (2024.lrec-main)

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Challenge: Current methods of creating accessible movies rely on manual work, resulting in high costs and limited scalability.
Approach: They propose a multi-modal movie audio description pipeline that generates narrations of information that is not accessible through unimodal hearing in movies.
Outcome: The proposed pipeline surpasses existing baselines in performance on widely used datasets.

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