Knowledge Graph Question Answering (KGQA) requires multi-step reasoning over a large, structured search space, where free-form LLM planning can hallucinate intermediate subgraphs or query sketches and yield unexecutable reasoning. We propose READS, a constraint-guided discriminative reasoning framework that makes KGQA...
Mu-Fan Xu, Ke-Hai Chen, Xue-Feng Bai et al.· IEEE Transactions on Knowled...· 0 citations
ProgSpec, a benchmark that evaluates final outputs against requirements explicitly stated in the initial request and additional requirements supported by the available task evidence, is introduced and RepoMAS, an issue-driven multi-agent framework inspired by open-source project management, is proposed.
Yu-Chen Song, An-Dong Chen, Wen-Xin Zhu et al.· 0 citations
The proposed DR 2 identifies and localizes non-deterministic reasoning behaviors, uncovering the underlying semantic representation deficiencies in LLMs, and designs abductive reasoning-based preference learning, which promotes fine-grained semantic discrimination and mitigates non-deterministic reasoning errors.
Ge Liang, Mufan Xu, Kehai Chen et al.· Annual Meeting of the Associ...· 0 citations
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