Papers by Xinru Wei

3 papers
HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST (2026.findings-acl)

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Challenge: Existing approaches to zero-shot Dialog State Tracking (zs-DST) are inadequate to generalize to new domains without extensive training.
Approach: They propose a framework that enhances zero-shot slot inference through robust prompt alignment.
Outcome: Experiments on multi-domain datasets show that HiCoLoRA outperforms baselines, achieving SOTA in zs-DST.
AC-EVAL: Evaluating Ancient Chinese Language Understanding in Large Language Models (2024.findings-emnlp)

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Challenge: AC-EVAL is a benchmark designed to assess the advanced knowledge and reasoning capabilities of LLMs within the context of ancient Chinese.
Approach: They propose a benchmark to assess the advanced knowledge and reasoning capabilities of LLMs in ancient Chinese.
Outcome: AC-EVAL aims to assess the comprehension of ancient Chinese texts . the benchmark covers 13 tasks covering historical facts, geography, social customs, art, philosophy, classical poetry and prose.
DyBBT: Dynamic Balance via Bandit-inspired Targeting for Dialog Policy with Cognitive Dual Systems (2026.acl-long)

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Challenge: Task oriented dialog systems often rely on static exploration strategies that do not adapt to dynamic dialog contexts.
Approach: They propose a dialog policy learning framework that formalizes the exploration challenge through a structured cognitive state space C.
Outcome: The proposed framework achieves SOTA performance in success rate, efficiency, and generalization.

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