-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2409.02060
-
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 376 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 152 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper • 2409.12122 • Published • 4 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 211
-
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Paper • 2408.15545 • Published • 38 -
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 65 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 44 -
Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 40
-
A Comparative Study on Automatic Coding of Medical Letters with Explainability
Paper • 2407.13638 • Published • 5 -
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
Paper • 2407.07061 • Published • 27 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51 -
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions
Paper • 2407.06723 • Published • 11
-
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 71 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 132 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 55 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90
-
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 219 -
Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
Paper • 2511.23319 • Published • 21 -
Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information
Paper • 2511.22176 • Published • 4 -
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
Paper • 2511.22265 • Published • 1
-
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 81 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 41 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
-
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Paper • 2405.11157 • Published • 31 -
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
Paper • 2406.12034 • Published • 16 -
FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs
Paper • 2407.04051 • Published • 39 -
OLMoE: Open Mixture-of-Experts Language Models
Paper • 2409.02060 • Published • 78
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 219 -
Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
Paper • 2511.23319 • Published • 21 -
Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information
Paper • 2511.22176 • Published • 4 -
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
Paper • 2511.22265 • Published • 1
-
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 376 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 152 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper • 2409.12122 • Published • 4 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 211
-
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Paper • 2408.15545 • Published • 38 -
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 65 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 44 -
Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 40
-
A Comparative Study on Automatic Coding of Medical Letters with Explainability
Paper • 2407.13638 • Published • 5 -
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
Paper • 2407.07061 • Published • 27 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51 -
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions
Paper • 2407.06723 • Published • 11
-
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 81 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 41 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
-
RLHF Workflow: From Reward Modeling to Online RLHF
Paper • 2405.07863 • Published • 71 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 132 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 55 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90
-
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Paper • 2405.11157 • Published • 31 -
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
Paper • 2406.12034 • Published • 16 -
FunAudioLLM: Voice Understanding and Generation Foundation Models for Natural Interaction Between Humans and LLMs
Paper • 2407.04051 • Published • 39 -
OLMoE: Open Mixture-of-Experts Language Models
Paper • 2409.02060 • Published • 78