Papers by Zilong Song

2 papers
F2TEval: Human-Aligned Multi-Dimensional Evaluation for Figure-to-Text Task (2025.emnlp-main)

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Challenge: Existing evaluation methods for Figure-to-Text tasks are limited due to the inherent ambiguity and semantic compression of figures, the generated texts suffer from factual inaccuracies, incomplete coverage, and weak logical reasoning.
Approach: They propose a five-dimensional reference-free evaluation method aligned with expert criteria to support fine-grained evaluation.
Outcome: The proposed method outperforms Gemini-2.0 and Claude-3.5 with only 0.9B parameters.
Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling (2024.findings-acl)

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Challenge: Recent advances in large language models (LLMs) have led to significant success in using LLMs as agents.
Approach: They propose a cognitive framework that incorporates first-order and second-order perspective transitions into LLMs to enhance their ability to identify and counteract deceptive information.
Outcome: The proposed framework enhances LLMs’ ability to identify and counteract deceptive information without extra fine-tuning and data.

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