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Collections including paper arxiv:2409.02795

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20 • 11
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 50
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 44

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 126
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Writing in the Margins: Better Inference Pattern for Long Context Retrieval

Paper • 2408.14906 • Published Aug 27 • 138
Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published Sep 19 • 134
Towards a Unified View of Preference Learning for Large Language Models: A Survey

Paper • 2409.02795 • Published Sep 4 • 72
Attention Heads of Large Language Models: A Survey

Paper • 2409.03752 • Published Sep 5 • 87

DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17 • 48
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis

Paper • 2410.02749 • Published Oct 3 • 12
Fewer Truncations Improve Language Modeling

Paper • 2404.10830 • Published Apr 16 • 3
How to Train Long-Context Language Models (Effectively)

Paper • 2410.02660 • Published Oct 3 • 1

alignment_24_best

KTO: Model Alignment as Prospect Theoretic Optimization

Paper • 2402.01306 • Published Feb 2 • 15
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 48
SimPO: Simple Preference Optimization with a Reference-Free Reward

Paper • 2405.14734 • Published May 23 • 10
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment

Paper • 2408.06266 • Published Aug 12 • 9

about 1 month ago

Towards a Unified View of Preference Learning for Large Language Models: A Survey

Paper • 2409.02795 • Published Sep 4 • 72
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct

Paper • 2409.05840 • Published Sep 9 • 45
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs

Paper • 2409.05152 • Published Sep 8 • 29
Training Language Models to Self-Correct via Reinforcement Learning

Paper • 2409.12917 • Published Sep 19 • 134

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

Paper • 2408.15545 • Published Aug 28 • 34
Controllable Text Generation for Large Language Models: A Survey

Paper • 2408.12599 • Published Aug 22 • 62
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20 • 40
Automated Design of Agentic Systems

Paper • 2408.08435 • Published Aug 15 • 38

Law of Vision Representation in MLLMs

Paper • 2408.16357 • Published Aug 29 • 92
CogVLM2: Visual Language Models for Image and Video Understanding

Paper • 2408.16500 • Published Aug 29 • 56
Learning to Move Like Professional Counter-Strike Players

Paper • 2408.13934 • Published Aug 25 • 21
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 116

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21 • 53
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17 • 51
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20 • 40
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20 • 50

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