VideoCon: Robust Video-Language Alignment via Contrast Captions
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FlashDecoding++: Faster Large Language Model Inference on GPUs
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Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling
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Compressing Context to Enhance Inference Efficiency of Large Language Models
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BitNet: Scaling 1-bit Transformers for Large Language Models
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Video Language Planning
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Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
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Kosmos-G: Generating Images in Context with Multimodal Large Language Models
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CLEX: Continuous Length Extrapolation for Large Language Models
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Are Large Language Models Post Hoc Explainers?
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Large Language Model Cascades with Mixture of Thoughts Representations for Cost-
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Toward Joint Language Modeling for Speech Units and Text
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Exponentially Faster Language Modelling
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Llemma: An Open Language Model For Mathematics
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Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
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Making Large Language Models Perform Better in Knowledge Graph Completion
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Amortizing intractable inference in large language models
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基于BIM的建筑结构生成式智能设计
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Retrieval meets Long Context Large Language Models
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Language Models can be Logical Solvers
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
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Ubody开源人体三维源数据集-smplx-三维建模-姿态估计
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Can Large Language Models be Good Path Planners? A Benchmark and Investigation o
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SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
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Interactive Task Planning with Language Models
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LayoutPrompter: Awaken the Design Ability of Large Language Models
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TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
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Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
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Large Language Models Cannot Self-Correct Reasoning Yet
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LLAMA3.1 中文数据集微调效果如何？
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GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
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FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
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OceanGPT: A Large Language Model for Ocean Science Tasks
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AutoMix: Automatically Mixing Language Models
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
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TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
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Memory Augmented Language Models through Mixture of Word Experts
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Creative Robot Tool Use with Large Language Models
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FLAP: Fast Language-Audio Pre-training
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Video as the New Language for Real-World Decision Making
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Ranking LLM-Generated Loop Invariants for Program Verification