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Showing 5126–5150 of 6097 papers

TitleStatusHype
Racing Thoughts: Explaining Contextualization Errors in Large Language Models—0
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models—0
Radiology-GPT: A Large Language Model for Radiology—0
Radiology-Llama2: Best-in-Class Large Language Model for Radiology—0
Radio: Rate-Distortion Optimization for Large Language Model Compression—0
RadOnc-GPT: A Large Language Model for Radiation Oncology—0
RAEE: A Robust Retrieval-Augmented Early Exiting Framework for Efficient Inference—0
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models—0
RAG Does Not Work for Enterprises—0
RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines—0
RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements—0
Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information—0
Confidence Diagram of Nonparametric Ranking for Uncertainty Assessment in Large Language Models Evaluation—0
RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot—0
Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine—0
Rapid Word Learning Through Meta In-Context Learning—0
Rationale Behind Essay Scores: Enhancing S-LLM's Multi-Trait Essay Scoring with Rationale Generated by LLMs—0
Rationalization Models for Text-to-SQL—0
Raw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model—0
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models—0
Towards Data-Centric Automatic R&D—0
RDBE: Reasoning Distillation-Based Evaluation Enhances Automatic Essay Scoring—0
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation—0
Reactor Mk.1 performances: MMLU, HumanEval and BBH test results—0
REACT: Representation Extraction And Controllable Tuning to Overcome Overfitting in LLM Knowledge Editing—0
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