Papers by Yiran Rex Ma

3 papers
Pun2Pun: Benchmarking LLMs on Textual-Visual Chinese-English Pun Translation via Pragmatics Model and Linguistic Reasoning (2025.acl-srw)

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Challenge: Current approaches resort to suboptimal compromises and computational methods remain inadequate for translation.
Approach: They propose a Constant-Variable Optimization (CVO) model for translation strategy and an Ovl metric for translation quality assessment that adapts to Chinese and English.
Outcome: The proposed model improves performance on textual and visual puns while maintaining linguistic mechanisms and humorous effects.
Do Androids Question Electric Sheep? A Multi-Agent Cognitive Simulation of Philosophical Reflection on Hybrid Table Reasoning (2025.acl-srw)

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Challenge: Existing studies have observed that LLMs are wise enough to be thinkers of philosophical reflection.
Approach: They conduct an exploratory simulation to investigate whether LLMs are wise enough to be thinkers of philosophical reflection.
Outcome: The proposed frameworks underperform simpler end-to-end approaches, but they tend to overthink . the results shed light on a fundamental challenge shared by both human and machine intelligence .
LinguaGame: A Linguistically Grounded Game-Theoretic Paradigm for Multi-Agent Dialogue Generation (2026.findings-acl)

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Challenge: Large Language Models (LLMs) have enabled Multi-Agent Systems (MASs) where agents interact through natural language to solve complex tasks or simulate multi-party dialogues.
Approach: They propose a linguistically-grounded game-theoretic paradigm for multi-agent dialogue generation that uses a training-free equilibrium approximation algorithm to model dialogue over communicative intents and strategies.
Outcome: The proposed framework improves agents’ communication efficiency by helping them convey their intended meaning more effectively through language.

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