1 citations · 1 across the 8 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2026
Constrained Paraphrase Consistency for LLM Hallucination Detection
Shanshan Lin, Dongsheng Hong, Sibo Ju +3
Large language models (LLMs) can generate factually inconsistent claims, motivating accurate and scalable hallucination detectors. Prior work largely enlarges training sets via syn…
cs.CL2026
Cross Paraphrastic Invariance Learning for Hallucination Detection
Shanshan Lin, Dongsheng Hong, Sibo Ju +3
Large language models (LLMs) frequently generate hallucinations, which are unsupported by a source document. To avoid costly LLM-as-evaluator pipelines and the heavy annotation dem…
cs.CL2024★ 1 cited
Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
Zhou Yang, Zhaochun Ren, Yufeng Wang +7
Empathetic response generation aims to generate empathetic responses by understanding the speaker's emotional feelings from the language of dialogue. Recent methods capture emotion…