22 papers
THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction
Pui Chung Siu, Claudia Cabrera, Mani Mudaliar +1
Inadequate target--disease linkage accounts for 40--50\% of Phase~II efficacy failures, so anticipating which programmes will advance would let sponsors back the hypotheses most li…
FineDialFact: A benchmark for Fine-grained Dialogue Fact Verification
Xiangyan Chen, Yufeng Li, Yujian Gan +2
Large language models are known to produce hallucinations - factually incorrect or fabricated information - which poses significant challenges for many natural language processing…
Towards Inclusive Toxic Content Moderation: Addressing Vulnerabilities to Adversarial Attacks in Toxicity Classifiers Tackling LLM-generated Content
Shaz Furniturewala, Arkaitz Zubiaga
The volume of machine-generated content online has grown dramatically due to the widespread use of Large Language Models (LLMs), leading to new challenges for content moderation sy…
BiCon-Gate: Consistency-Gated De-colloquialisation for Dialogue Fact-Checking
Hyunkyung Park, Arkaitz Zubiaga
Automated fact-checking in dialogue involves multi-turn conversations where colloquial language is frequent yet understudied. To address this gap, we propose a conservative rewrite…
Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering
Rrubaa Panchendrarajan, Arkaitz Zubiaga
Recurrent claims present a major challenge for automated fact-checking systems designed to combat misinformation, especially in multilingual settings. While tasks such as claim mat…
ContextClaim: A Context-Driven Paradigm for Verifiable Claim Detection
Yufeng Li, Rrubaa Panchendrarajan, Arkaitz Zubiaga
Automated fact-checking pipelines typically begin with a filtering stage that decides which claims are worth verifying, given that the later evidence retrieval and verification com…