model reliability

GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization AAAI 2026 Implications for AI Research: Applying Lessons from the Expert Systems Boom and Bust to the Current Large-Language Model Boom AAAI 2026 ReMedQA: Are We Done With Medical Multiple-Choice Benchmarks? EACL 2026 Small Models Exhibit Limited Answer Consistency in Repetition Trials of the Multiple-Choice MMLU-Redux and MedQA Benchmarks AAAI 2026 When LLMs Annotate: Reliability Challenges in Low-Resource NLI EACL 2026 Activation Subspaces for Out-of-Distribution Detection ICCV 2025 Assessing Reliability and Political Bias In LLMs’ Judgements of Formal and Material Inferences With Partisan Conclusions ACL 2025 Calibrating LLM Confidence by Probing Perturbed Representation Stability EMNLP 2025 Can Multiple Responses from an LLM Reveal the Sources of Its Uncertainty? EMNLP 2025 Conflicts in Texts: Data, Implications and Challenges EMNLP 2025 Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions EMNLP 2025 Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models COLING 2025 Echoes of Agreement: Argument Driven Sycophancy in Large Language models EMNLP 2025 Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text COLING 2025 Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models EMNLP 2025 Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge ICLR 2025 MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models ICLR 2025 Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability ACL 2025 RedHerring Attack: Testing the Reliability of Attack Detection EMNLP 2025 Steering off Course: Reliability Challenges in Steering Language Models ACL 2025 SUE: Sparsity-based Uncertainty Estimation via Sparse Dictionary Learning EMNLP 2025 The Lawyer That Never Thinks: Consistency and Fairness as Keys to Reliable AI ACL 2025 The Mainstays of Trustworthy Machine Learning AAAI 2025 Trust Me, I’m Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer EMNLP 2025 Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models COLING 2025