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Showing 51–75 of 80 papers

TitleStatusHype
Shadows in the Attention: Contextual Perturbation and Representation Drift in the Dynamics of Hallucination in LLMs—0
SkillAggregation: Reference-free LLM-Dependent Aggregation—0
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency—0
Teaching language models to support answers with verified quotes—0
Towards Multilingual LLM Evaluation for European Languages—0
TruthFlow: Truthful LLM Generation via Representation Flow Correction—0
Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages—0
Uncertainty-aware Language Modeling for Selective Question Answering—0
When Persuasion Overrides Truth in Multi-Agent LLM Debates: Introducing a Confidence-Weighted Persuasion Override Rate (CW-POR)—0
Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models—0
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language ModelsCode0
A test suite of prompt injection attacks for LLM-based machine translationCode0
Steering Without Side Effects: Improving Post-Deployment Control of Language ModelsCode0
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition DynamicsCode0
When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language ModelsCode0
(WhyPHI) Fine-Tuning PHI-3 for Multiple-Choice Question Answering: Methodology, Results, and ChallengesCode0
Multi-Agent Reinforcement Learning with Focal Diversity OptimizationCode0
Measuring Reliability of Large Language Models through Semantic ConsistencyCode0
metabench -- A Sparse Benchmark to Measure General Ability in Large Language ModelsCode0
Instruction Tuning with Human CurriculumCode0
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language ModelsCode0
SaGE: Evaluating Moral Consistency in Large Language ModelsCode0
Unsupervised Elicitation of Language ModelsCode0
VarBench: Robust Language Model Benchmarking Through Dynamic Variable PerturbationCode0
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided DecodingCode0
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