The FinBen: An Holistic Financial Benchmark 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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Retrieval meets Long Context Large Language Models
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How Do Large Language Models Capture the Ever-changing World Knowledge? A Review
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Interactive Task Planning with Language Models
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Offline Actor-Critic Reinforcement Learning Scales to Large Models
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LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language M
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MusicAgent: An AI Agent for Music Understanding and Generation with Large Langua
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Are Large Language Models Post Hoc Explainers?
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Learning to Learn Faster from Human Feedback with Language Model Predictive Cont
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GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
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Secrets of RLHF in Large Language Models Part II: Reward Modeling
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
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Llemma: An Open Language Model For Mathematics
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FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
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Anthropic：人工智能的性格应该是什么样的？
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TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
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How FaR Are Large Language Models From Agents with Theory-of-Mind?
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Can Large Language Models be Good Path Planners? A Benchmark and Investigation o
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[2024年] [中英字幕] 7 Building AI Models in the Wild | 麻省理工学院深度学习导论 6.S191
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Controlled Decoding from Language Models
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Simple and Scalable Strategies to Continually Pre-train Large Language Models
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Moral Foundations of Large Language Models
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AutoMix: Automatically Mixing Language Models
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LayoutPrompter: Awaken the Design Ability of Large Language Models
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Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
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Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-S
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Language Models can be Logical Solvers
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Orca 2: Teaching Small Language Models How to Reason
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
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基于语言模型的知识探测和推理方法
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FlashDecoding++: Faster Large Language Model Inference on GPUs
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Large Language Model Cascades with Mixture of Thoughts Representations for Cost-
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Making Large Language Models Perform Better in Knowledge Graph Completion
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SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
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Aligning Text-to-Image Diffusion Models with Reward Backpropagation
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EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
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CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
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The Consensus Game: Language Model Generation via Equilibrium Search
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Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
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Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling