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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 12 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 51 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 45
Collections
Discover the best community collections!
Collections including paper arxiv:2409.16191
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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 16
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INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
Paper • 2306.04757 • Published • 6 -
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation
Paper • 2308.01240 • Published • 2 -
Can Large Language Models Understand Real-World Complex Instructions?
Paper • 2309.09150 • Published • 2 -
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Paper • 2308.10819 • Published
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LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 53 -
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
Paper • 2408.09174 • Published • 51 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 40 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 50
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InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning
Paper • 2408.07089 • Published • 13 -
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
Paper • 2409.16191 • Published • 41 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 134 -
Self-Boosting Large Language Models with Synthetic Preference Data
Paper • 2410.06961 • Published • 15
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Self-Taught Evaluators
Paper • 2408.02666 • Published • 26 -
Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries
Paper • 2409.12640 • Published • 2 -
openai/MMMLU
Viewer • Updated • 393k • 1.81k • 414 -
HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
Paper • 2409.16191 • Published • 41
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MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention
Paper • 2407.02490 • Published • 23 -
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations
Paper • 2406.13632 • Published • 5 -
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs
Paper • 2406.15319 • Published • 61 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 52
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LLoCO: Learning Long Contexts Offline
Paper • 2404.07979 • Published • 20 -
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 111 -
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
Paper • 2402.11550 • Published • 15 -
LongAlign: A Recipe for Long Context Alignment of Large Language Models
Paper • 2401.18058 • Published • 21
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RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 67 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 126 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 53 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 85