1 citations · 1 across the 6 of their papers we have counts for
7 papers
Locally Sound, Globally Insufficient: The Local-Global Gap in Multi-Hop Reasoning
Bohao Chu, Hendrik Damm, Qianli Wang +4
Reliable multi-hop reasoning requires more than locally supported steps: a trace can be sound at every reasoning step yet still fail to answer the question as a whole. We call this…
CoVer: Conflict-Aware Claim Verification
Shuning Zhang, Dai Shi, Bohao Chu +7
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 c…
Towards Multi-Agent-Simulation-Based Community Note Evaluation
Changxi Wen, Shuning Zhang, Bohao Chu +5
Community-based fact-checking that relies on cross-consensus is expanding rapidly on social media platforms. However, the delay and low-ratio of cross-consensus community fact-chec…
Macro: Enhancing Multilingual Counterfactual Explanations through Alignment-as-Preference Optimization
Yilong Wang, Qianli Wang, Bohao Chu +3
Self-generated counterfactual explanations (SCEs) are minimally modified inputs (minimality) generated by large language models (LLMs) that flip their own predictions (validity), o…
eTracer: Polarity-Aware Evidence Grounding
Bohao Chu, Qianli Wang, Hendrik Damm +8
Evidence grounding makes generated content verifiable by linking statements to their sources. However, effective verifiability requires two properties that existing methods fail to…
MAPLE: Medical Aspect-Based Summarization with Phrase-Level Evidence
Bohao Chu, Sameh Frihat, Tabea M. G. Pakull +7
Trustworthy clinical summarization requires every claim to be traceable to its evidence, yet existing attribution often resolves only to the sentence or document, leaving clinician…
TracSum: A New Benchmark for Aspect-Based Summarization with Sentence-Level Traceability in Medical Domain
Bohao Chu, Meijie Li, Sameh Frihat +4
While document summarization with LLMs has enhanced access to textual information, concerns about the factual accuracy of these summaries persist, especially in the medical domain.…