Papers by Qiming Xie
EmoCharacter: Evaluating the Emotional Fidelity of Role-Playing Agents in Dialogues (2025.naacl-long)
Copied to clipboard
| Challenge: | EmoCharacter evaluates emotional fidelity of role-playing agents in dialogues . current evaluations focus on personality fidelity, tone imitation, and knowledge consistency . |
| Approach: | They propose a benchmark to assess emotional fidelity of role-playing agents in dialogues using large language models. |
| Outcome: | The proposed benchmark measures emotional fidelity of role-playing agents and the characters they portray. |
Disco-RAG: Discourse-Aware Retrieval-Augmented Generation (2026.acl-long)
Copied to clipboard
Dongqi Liu, Hang Ding, Qiming Feng, Xurong Xie, Zhucun Xue, Chengjie Wang, Jian Li, Jiangning Zhang, Yabiao Wang
| Challenge: | Existing RAG strategies treat retrieved passages in a flat and unstructured way, which prevents the model from capturing structural cues and constrains its ability to synthesize knowledge from dispersed evidence across documents. |
| Approach: | They propose a framework that explicitly injects discourse signals into the generation process. |
| Outcome: | Experiments on question answering and long-document summarization benchmarks show the efficacy of the proposed framework. |
Ask Again, Then Fail: Large Language Models’ Vacillations in Judgment (2024.acl-long)
Copied to clipboard
| Challenge: | Existing large language models often waver in their judgments when faced with follow-up questions . this is a challenge for generating reliable responses and building user trust . |
| Approach: | They propose a Follow-up Questioning Mechanism and two metrics to quantify this inconsistency . they also develop a framework that teaches large language models to maintain original correct judgments . |
| Outcome: | The proposed framework improves the general capabilities of large language models by allowing them to maintain original correct judgments. |
LoReFact: Bridging the Logic Gap in Fact-Checking (2026.findings-acl)
Copied to clipboard
| Challenge: | Existing fact-checking methods focus on verification of individual facts, overlooking logical dependencies . a recent study shows that text containing logical errors may still be misjudged as factual . |
| Approach: | They propose a content–logic coupled factuality evaluation paradigm that conceptualizes factual dimension along two complementary dimensions: content factualism and logic factuity. |
| Outcome: | The proposed paradigm bridges the gap between factual verification and content factuality . it incorporates the logical dimension and a logic-aware metric to expose and penalize logical fallacies. |