Orca 2: Teaching Small Language Models How to Reason
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Retrieval meets Long Context Large Language Models
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Amortizing intractable inference in large language models
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How Do Large Language Models Capture the Ever-changing World Knowledge? A Review
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Memory Augmented Language Models through Mixture of Word Experts
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FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
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BitNet: Scaling 1-bit Transformers for Large Language Models
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AutoMix: Automatically Mixing Language Models
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Are Large Language Models Post Hoc Explainers?
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Interactive Task Planning with Language Models
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Aligning Text-to-Image Diffusion Models with Reward Backpropagation
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LayoutPrompter: Awaken the Design Ability of Large Language Models
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Controlled Decoding from Language Models
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How FaR Are Large Language Models From Agents with Theory-of-Mind?
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Large Language Models Cannot Self-Correct Reasoning Yet
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NEWTON: Are Large Language Models Capable of Physical Reasoning?
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Can Large Language Models be Good Path Planners? A Benchmark and Investigation o
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Simple and Scalable Strategies to Continually Pre-train Large Language Models
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Gemma 2震撼发布！90亿vs270亿参数大比拼，测试视频【中英字幕】
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
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Toward Joint Language Modeling for Speech Units and Text
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Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild
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Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-S
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TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
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Language Models can be Logical Solvers
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Can a student Large Language Model perform as well as it's teacher?
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OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
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CogVLM: Visual Expert for Pretrained Language Models
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TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
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Tuna: Instruction Tuning using Feedback from Large Language Models
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Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
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Making Large Language Models Perform Better in Knowledge Graph Completion
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TiC-CLIP: Continual Training of CLIP Models
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Llemma: An Open Language Model For Mathematics
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Video Language Planning
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TrustLLM: Trustworthiness in Large Language Models
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Large Language Model Cascades with Mixture of Thoughts Representations for Cost-
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More Agents Is All You Need
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SOTOPIA-$π$: Interactive Learning of Socially Intelligent Language Agents