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Bo-Hao Chu

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#natural language process... Preprint Jan 2026

eTracer: Polarity-Aware Evidence Grounding

This work formalizes polarity-aware evidence grounding: linking each response sentence to its contextual evidence with a supporting, contradicting, or irrelevant label, and proposes eTracer, a post-hoc framework whose context-aware signed scorer recovers the full evidence map in a single forward pass per response.

Bo-Hao Chu, Qianli Wang, Hendrik Damm et al. · 0 citations
#natural language process... Preprint Jan 2026

MAPLE: Medical Aspect-Based Summarization with Phrase-Level Evidence

A human-annotated benchmark that grounds each summarized claim in both cited sentences and contributory phrases within them and introduces a decoupled evaluation framework that separately scores content, traceability, and locatability, together with a proxy for the amount of source text a clinician must inspect to veri...

Bo-Hao Chu, Hendrik Damm, T. Pakull et al. · 0 citations
#natural language process... Preprint Sep 2026

Locally Sound, Globally Insufficient: The Local-Global Gap in Multi-Hop Reasoning

Instead of post-hoc diagnosis, E-Closure is introduced to supervise three dependencies for reliable reasoning during training, combining generation supervision on supported original and counterfactual responses with bidirectional switching constraints.

Bo-Hao Chu, Hendrik Damm, Qianli Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

CoVer: Conflict-Aware Claim Verification

Social media fact-checking has long been challenged by evidence-level and aggregation-level conflicts, where erroneous evidence mimics authoritative news sources. To capture this challenge and support conflict verification tasks, we present ContraNote, a large-scale real-world dataset curated from X's Community Notes s...

Shu-Ning Zhang, D. Shi, Bo-Hao Chu et al. · 0 citations

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