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Large Language Model

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Showing 3926–3950 of 6097 papers

TitleStatusHype
CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction AlignmentCode1
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language ModelsCode1
Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following—0
Evaluating Retrieval Quality in Retrieval-Augmented GenerationCode1
A Survey on the Memory Mechanism of Large Language Model based AgentsCode3
LASER: Tuning-Free LLM-Driven Attention Control for Efficient Text-conditioned Image-to-Animation—0
Intrusion Detection at Scale with the Assistance of a Command-line Language Model—0
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query EfficiencyCode2
FineRec:Exploring Fine-grained Sequential RecommendationCode1
SOS-1K: A Fine-grained Suicide Risk Classification Dataset for Chinese Social Media AnalysisCode0
MoVA: Adapting Mixture of Vision Experts to Multimodal ContextCode2
Beyond Self-Consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging—0
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language ModelsCode4
DeepLocalization: Using change point detection for Temporal Action Localization—0
Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration—0
AccidentBlip: Agent of Accident Warning based on MA-former—0
Enhancing Embedding Performance through Large Language Model-based Text Enrichment and Rewriting—0
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models—0
MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM RankersCode0
Concept Induction using LLMs: a user experiment for assessment—0
ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models—0
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model—0
Prompt-Guided Generation of Structured Chest X-Ray Report Using a Pre-trained LLM—0
Towards Data-Centric Automatic R&D—0
Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and NegativesCode1
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