natural language inference

A Deployed Investigative AI Search Engine for Combating Human Trafficking at Web Scale AAAI 2026 AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text Generation ACL 2026 Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning ACL 2026 A Position Paper on Toxic Reasoning: Grounding Categories of Toxic Language in Implications and Attitudes EACL 2026 B&B at SemEval-2026 Task 6: A RoBERTa-based Model with NLI-derived Semantic Features for Clarity-Level Classification of Political Question Evasion SemEval 2026 Constructing a Japanese Verdict Prediction Dataset for Fact-Checking of LLM-Generated Texts ACL 2026 Distill and Align Decomposition for Enhanced Claim Verification EACL 2026 Frame-Semantic Knowledge Injection for Event-Level Inference in LLMs ACL 2026 GuysLLM at SemEval-2026 Task 5: NLI-Informed Regression for Graded Word-Sense Plausibility in Narrative Contexts SemEval 2026 HU at SemEval-2026 Task 6: A Hybrid Discriminative Modeling of Political Clarity and Evasion SemEval 2026 Incorporating Temporal Coherence to Cross-Document Event Coreference Resolution ACL 2026 JCT 2026 - SemEval Task 5 SemEval 2026 Label and Explanation Variation in LLM-Based Annotation: a Case Study in Natural Language Inference ACL 2026 Large Language Models Put to the Test on Chinese Noun Compounds: Experiments on Natural Language Inference and Compound Semantics EACL 2026 Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study AAAI 2026 One Language, Three of Its Voices: Evaluating Multilingual LLMs Across Persian, Dari, and Tajiki on Translation and Understanding Tasks EACL 2026 PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise ACL 2026 Sample-Size Scaling of the African Languages NLI Evaluation EACL 2026 Sentiment Syndicate at SemEval-2026 Task 6: Reframing Political Question–Answer Interactions via Natural Language Inference for Clarity Level Classification SemEval 2026 Serbian SuperGLUE: Towards an Evaluation Benchmark for South Slavic Language Models EACL 2026 "So, How Much Do LLMs Hallucinate on Low-Resource Languages?" A Quantitative and Qualitative Analysis EACL 2026 The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods EACL 2026 The Imperfective Paradox in Large Language Models ACL 2026 Thunder-NUBench: A Benchmark for LLMs’ Sentence-Level Negation Understanding EACL 2026 Token-Context Attention for NLI: An Alternative to Self-Attention AAAI 2026