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Showing 41–50 of 80 papers

TitleStatusHype
Investigating Data Contamination in Modern Benchmarks for Large Language Models—0
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning—0
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback—0
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity—0
LokiLM: Technical Report—0
Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning—0
Sample, Don't Search: Rethinking Test-Time Alignment for Language Models—0
Selective Self-Rehearsal: A Fine-Tuning Approach to Improve Generalization in Large Language Models—0
Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models—0
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation—0
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