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Collections including paper arxiv:2412.14711

LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Paper • 2501.06186 • Published Jan 10 • 65
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers

Paper • 2501.02393 • Published Jan 4 • 7
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM

Paper • 2501.01904 • Published Jan 3 • 33
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing

Paper • 2412.14711 • Published Dec 19, 2024 • 16

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing

Paper • 2412.14711 • Published Dec 19, 2024 • 16

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing

Paper • 2412.14711 • Published Dec 19, 2024 • 16

Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 90
Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published Dec 13, 2024 • 108
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
YuLan-Mini: An Open Data-efficient Language Model

Paper • 2412.17743 • Published Dec 23, 2024 • 65

LLMs + Persona-Plug = Personalized LLMs

Paper • 2409.11901 • Published Sep 18, 2024 • 35
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Paper • 2409.12183 • Published Sep 18, 2024 • 39
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20, 2024 • 13
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices

Paper • 2410.00531 • Published Oct 1, 2024 • 34

Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback

Paper • 2501.03916 • Published Jan 7 • 16
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 99
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8 • 95
Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9 • 102

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing

Paper • 2412.14711 • Published Dec 19, 2024 • 16
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52

Video Creation by Demonstration

Paper • 2412.09551 • Published Dec 12, 2024 • 9
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Paper • 2412.07589 • Published Dec 10, 2024 • 48
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 72
APOLLO: SGD-like Memory, AdamW-level Performance

Paper • 2412.05270 • Published Dec 6, 2024 • 38

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Paper • 2411.02337 • Published Nov 4, 2024 • 36
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models

Paper • 2411.04996 • Published Nov 7, 2024 • 51
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level

Paper • 2411.03562 • Published Nov 5, 2024 • 68
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Paper • 2410.08815 • Published Oct 11, 2024 • 47

about 23 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 44
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs

Paper • 2501.06186 • Published Jan 10 • 65
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers

Paper • 2501.02393 • Published Jan 4 • 7
Virgo: A Preliminary Exploration on Reproducing o1-like MLLM

Paper • 2501.01904 • Published Jan 3 • 33
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing

Paper • 2412.14711 • Published Dec 19, 2024 • 16

Dolphin: Closed-loop Open-ended Auto-research through Thinking, Practice, and Feedback

Paper • 2501.03916 • Published Jan 7 • 16
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 99
Agent Laboratory: Using LLM Agents as Research Assistants

Paper • 2501.04227 • Published Jan 8 • 95
Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9 • 102

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing

Paper • 2412.14711 • Published Dec 19, 2024 • 16

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing

Paper • 2412.14711 • Published Dec 19, 2024 • 16
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing

Paper • 2412.14711 • Published Dec 19, 2024 • 16

Video Creation by Demonstration

Paper • 2412.09551 • Published Dec 12, 2024 • 9
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Paper • 2412.07589 • Published Dec 10, 2024 • 48
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 72
APOLLO: SGD-like Memory, AdamW-level Performance

Paper • 2412.05270 • Published Dec 6, 2024 • 38

Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 90
Byte Latent Transformer: Patches Scale Better Than Tokens

Paper • 2412.09871 • Published Dec 13, 2024 • 108
Qwen2.5 Technical Report

Paper • 2412.15115 • Published Dec 19, 2024 • 376
YuLan-Mini: An Open Data-efficient Language Model

Paper • 2412.17743 • Published Dec 23, 2024 • 65

WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning

Paper • 2411.02337 • Published Nov 4, 2024 • 36
Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models

Paper • 2411.04996 • Published Nov 7, 2024 • 51
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level

Paper • 2411.03562 • Published Nov 5, 2024 • 68
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

Paper • 2410.08815 • Published Oct 11, 2024 • 47

LLMs + Persona-Plug = Personalized LLMs

Paper • 2409.11901 • Published Sep 18, 2024 • 35
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Paper • 2409.12183 • Published Sep 18, 2024 • 39
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems

Paper • 2402.12875 • Published Feb 20, 2024 • 13
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices

Paper • 2410.00531 • Published Oct 1, 2024 • 34

about 23 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 44
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

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