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Collections including paper arxiv:2501.01264

2025 LLM Papers on Hugging Face with Japanese Memos

about 3 hours ago

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published 6 days ago • 85
ProgCo: Program Helps Self-Correction of Large Language Models

Paper • 2501.01264 • Published 5 days ago • 23
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Paper • 2501.01957 • Published 4 days ago • 26
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning

Paper • 2501.03226 • Published about 23 hours ago • 20

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published 6 days ago • 85
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Paper • 2501.01257 • Published 5 days ago • 42
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Paper • 2501.01423 • Published 5 days ago • 33
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents

Paper • 2411.13552 • Published Nov 20, 2024

about 4 hours ago

Video Creation by Demonstration

Paper • 2412.09551 • Published 26 days ago • 8
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Paper • 2412.07589 • Published 28 days ago • 46
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published 29 days ago • 71
APOLLO: SGD-like Memory, AdamW-level Performance

Paper • 2412.05270 • Published Dec 6, 2024 • 38

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 33
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 26
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 121
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 21

about 4 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 • 51
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 41
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 53

LM Capabilities and Scaling

Compression Represents Intelligence Linearly

Paper • 2404.09937 • Published Apr 15, 2024 • 27
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Paper • 2404.06395 • Published Apr 9, 2024 • 22
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 36
Are large language models superhuman chemists?

Paper • 2404.01475 • Published Apr 1, 2024 • 16

LM Prompt Engineering

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8
Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Paper • 2305.10601 • Published May 17, 2023 • 11
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3, 2024 • 48
Voyager: An Open-Ended Embodied Agent with Large Language Models

Paper • 2305.16291 • Published May 25, 2023 • 9

Synthetic Data and Self-Improvement

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 145
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 114
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Paper • 2402.07456 • Published Feb 12, 2024 • 42
Learning From Mistakes Makes LLM Better Reasoner

Paper • 2310.20689 • Published Oct 31, 2023 • 28

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