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Showing 51–75 of 124 papers

TitleStatusHype
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic DataCode0
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-JudgesCode0
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAGCode0
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented GenerationCode0
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language ModelsCode0
Accurate and Nuanced Open-QA Evaluation Through Textual EntailmentCode0
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering—0
Mitigating LLM Hallucinations via Conformal Abstention—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents—0
Fine-Grained Self-Endorsement Improves Factuality and Reasoning—0
The Generative AI Paradox on Evaluation: What It Can Solve, It May Not Evaluate—0
Attendre: Wait To Attend By Retrieval With Evicted Queries in Memory-Based Transformers for Long Context Processing—0
Efficient Transformer Knowledge Distillation: A Performance Review—0
Noisy Pair Corrector for Dense Retrieval—0
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative ModelsCode0
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference—0
When to Read Documents or QA History: On Unified and Selective Open-domain QA—0
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question AnsweringCode0
Allies: Prompting Large Language Model with Beam SearchCode0
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human FeedbackCode0
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingCode0
Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders—0
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval—0
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models—0
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