FLAME: Factuality-Aware Alignment for Large Language Models
Paper
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2405.01525
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Published
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29
Skynet
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DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 41 -
Transformers Can Do Arithmetic with the Right Embeddings
Paper • 2405.17399 • Published • 54 -
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture
Paper • 2405.18991 • Published • 12 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 64 -
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 71 -
Transformers meet Neural Algorithmic Reasoners
Paper • 2406.09308 • Published • 45 -
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts
Paper • 2406.12034 • Published • 16 -
A Closer Look into Mixture-of-Experts in Large Language Models
Paper • 2406.18219 • Published • 16 -
DiffusionPDE: Generative PDE-Solving Under Partial Observation
Paper • 2406.17763 • Published • 25 -
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data
Paper • 2406.18790 • Published • 35 -
Controlling Space and Time with Diffusion Models
Paper • 2407.07860 • Published • 17 -
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
Paper • 2407.07071 • Published • 12 -
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
Paper • 2408.11878 • Published • 61 -
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
Paper • 2408.15915 • Published • 20 -
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Paper • 2409.04109 • Published • 49 -
Training Language Models to Self-Correct via Reinforcement Learning
Paper • 2409.12917 • Published • 139 -
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization
Paper • 2409.12903 • Published • 23 -
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Paper • 2409.16040 • Published • 14 -
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning
Paper • 2409.20566 • Published • 57 -
Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free
Paper • 2410.10814 • Published • 52 -
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization
Paper • 2411.02355 • Published • 52 -
POINTS1.5: Building a Vision-Language Model towards Real World Applications
Paper • 2412.08443 • Published • 39 -
Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions
Paper • 2412.08737 • Published • 54 -
Multimodal Latent Language Modeling with Next-Token Diffusion
Paper • 2412.08635 • Published • 46 -
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 146 -
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
Paper • 2412.11919 • Published • 37 -
Smaller Language Models Are Better Instruction Evolvers
Paper • 2412.11231 • Published • 29 -
Learned Compression for Compressed Learning
Paper • 2412.09405 • Published • 13 -
GUI Agents: A Survey
Paper • 2412.13501 • Published • 29 -
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 89 -
YuLan-Mini: An Open Data-efficient Language Model
Paper • 2412.17743 • Published • 67 -
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Paper • 2412.18619 • Published • 59 -
Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment
Paper • 2412.19326 • Published • 18 -
LUSIFER: Language Universal Space Integration for Enhanced Multilingual Embeddings with Large Language Models
Paper • 2501.00874 • Published • 13 -
Personalized Graph-Based Retrieval for Large Language Models
Paper • 2501.02157 • Published • 32 -
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
Paper • 2501.03262 • Published • 99 -
Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control
Paper • 2501.03847 • Published • 23 -
LLM4SR: A Survey on Large Language Models for Scientific Research
Paper • 2501.04306 • Published • 37 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 101 -
MinMo: A Multimodal Large Language Model for Seamless Voice Interaction
Paper • 2501.06282 • Published • 52 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 55 -
ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
Paper • 2501.06590 • Published • 11 -
deepseek-ai/DeepSeek-V3
Text Generation • Updated • 2.29M • • 3.86k -
Learnings from Scaling Visual Tokenizers for Reconstruction and Generation
Paper • 2501.09755 • Published • 37 -
RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation
Paper • 2501.08617 • Published • 10 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 41 -
CityDreamer4D: Compositional Generative Model of Unbounded 4D Cities
Paper • 2501.08983 • Published • 20 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
HiFi-SR: A Unified Generative Transformer-Convolutional Adversarial Network for High-Fidelity Speech Super-Resolution
Paper • 2501.10045 • Published • 9 -
Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
Paper • 2501.12202 • Published • 47 -
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
Paper • 2501.13106 • Published • 91 -
Autonomy-of-Experts Models
Paper • 2501.13074 • Published • 45 -
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate
Paper • 2501.17703 • Published • 59 -
Optimizing Large Language Model Training Using FP4 Quantization
Paper • 2501.17116 • Published • 38 -
WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
Paper • 2501.18511 • Published • 20 -
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
Paper • 2501.18427 • Published • 20 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 30 -
Reward-Guided Speculative Decoding for Efficient LLM Reasoning
Paper • 2501.19324 • Published • 40 -
The Curse of Depth in Large Language Models
Paper • 2502.05795 • Published • 40 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 153 -
ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and Reasoning
Paper • 2502.04689 • Published • 7 -
Generating Symbolic World Models via Test-time Scaling of Large Language Models
Paper • 2502.04728 • Published • 19 -
MetaChain: A Fully-Automated and Zero-Code Framework for LLM Agents
Paper • 2502.05957 • Published • 16 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 142 -
Scaling Pre-training to One Hundred Billion Data for Vision Language Models
Paper • 2502.07617 • Published • 29 -
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
Paper • 2502.07374 • Published • 41 -
Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon
Paper • 2502.07445 • Published • 11 -
Next Block Prediction: Video Generation via Semi-Autoregressive Modeling
Paper • 2502.07737 • Published • 9 -
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
Paper • 2502.05664 • Published • 23 -
LLM Pretraining with Continuous Concepts
Paper • 2502.08524 • Published • 29 -
Retrieval-augmented Large Language Models for Financial Time Series Forecasting
Paper • 2502.05878 • Published • 41 -
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
Paper • 2502.06589 • Published • 18 -
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
Paper • 2502.06060 • Published • 37 -
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
Paper • 2502.09604 • Published • 36 -
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
Paper • 2502.11098 • Published • 13 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 119 -
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
Paper • 2502.12146 • Published • 16 -
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
Paper • 2502.10458 • Published • 36 -
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
Paper • 2502.11775 • Published • 8 -
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Paper • 2502.11831 • Published • 19 -
FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
Paper • 2502.11433 • Published • 36 -
Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarsity
Paper • 2502.11901 • Published • 6 -
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization
Paper • 2502.13922 • Published • 28 -
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation
Paper • 2502.12638 • Published • 8 -
SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation
Paper • 2502.13128 • Published • 42 -
Craw4LLM: Efficient Web Crawling for LLM Pretraining
Paper • 2502.13347 • Published • 28 -
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
Paper • 2502.13533 • Published • 11 -
Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering
Paper • 2502.13962 • Published • 29 -
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
Paper • 2502.13233 • Published • 15 -
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper • 2502.12853 • Published • 29 -
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 91 -
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Paper • 2502.14768 • Published • 48 -
RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers
Paper • 2502.14377 • Published • 12 -
InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models via Human Feedback
Paper • 2502.15027 • Published • 7 -
SurveyX: Academic Survey Automation via Large Language Models
Paper • 2502.14776 • Published • 100 -
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment
Paper • 2502.16894 • Published • 31 -
DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
Paper • 2502.17157 • Published • 53 -
Rank1: Test-Time Compute for Reranking in Information Retrieval
Paper • 2502.18418 • Published • 27 -
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models
Paper • 2502.16614 • Published • 27 -
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Paper • 2503.01743 • Published • 87 -
Qwen/QwQ-32B
Text Generation • Updated • 309k • • 2.77k -
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching
Paper • 2503.05179 • Published • 46 -
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcing Learning
Paper • 2503.05379 • Published • 37 -
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Paper • 2503.05592 • Published • 27 -
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
Paper • 2503.04504 • Published • 3 -
Effective and Efficient Masked Image Generation Models
Paper • 2503.07197 • Published • 11 -
TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion Models
Paper • 2503.05638 • Published • 19 -
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
Paper • 2503.02199 • Published • 8 -
Self-Taught Self-Correction for Small Language Models
Paper • 2503.08681 • Published • 15 -
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
Paper • 2503.10639 • Published • 50 -
Transformers without Normalization
Paper • 2503.10622 • Published • 164 -
Autoregressive Image Generation with Randomized Parallel Decoding
Paper • 2503.10568 • Published • 8 -
Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models
Paper • 2503.09669 • Published • 36 -
4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
Paper • 2503.10437 • Published • 32 -
Learning from Failures in Multi-Attempt Reinforcement Learning
Paper • 2503.04808 • Published • 18 -
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Paper • 2503.12937 • Published • 29 -
API Agents vs. GUI Agents: Divergence and Convergence
Paper • 2503.11069 • Published • 37 -
Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
Paper • 2503.12533 • Published • 66 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 128 -
Personalize Anything for Free with Diffusion Transformer
Paper • 2503.12590 • Published • 44 -
DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Paper • 2503.15265 • Published • 47 -
Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning
Paper • 2503.16252 • Published • 27 -
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Paper • 2503.16419 • Published • 74 -
Why Do Multi-Agent LLM Systems Fail?
Paper • 2503.13657 • Published • 47 -
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Paper • 2503.16219 • Published • 51 -
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
Paper • 2503.16057 • Published • 14 -
ELTEX: A Framework for Domain-Driven Synthetic Data Generation
Paper • 2503.15055 • Published • 6 -
Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models
Paper • 2503.16257 • Published • 24 -
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement
Paper • 2503.17352 • Published • 23 -
MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving
Paper • 2503.16905 • Published • 54 -
Modifying Large Language Model Post-Training for Diverse Creative Writing
Paper • 2503.17126 • Published • 36 -
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
Paper • 2503.18878 • Published • 118 -
Open Deep Search: Democratizing Search with Open-source Reasoning Agents
Paper • 2503.20201 • Published • 47 -
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
Paper • 2503.19470 • Published • 18 -
UI-R1: Enhancing Action Prediction of GUI Agents by Reinforcement Learning
Paper • 2503.21620 • Published • 62 -
LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis
Paper • 2503.21749 • Published • 26 -
Qwen2.5-Omni Technical Report
Paper • 2503.20215 • Published • 156 -
ORIGEN: Zero-Shot 3D Orientation Grounding in Text-to-Image Generation
Paper • 2503.22194 • Published • 24 -
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models
Paper • 2503.24235 • Published • 54 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62 -
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1
Paper • 2503.24376 • Published • 38 -
Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
Paper • 2504.00595 • Published • 36 -
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations
Paper • 2504.00824 • Published • 43 -
VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning
Paper • 2504.02949 • Published • 21 -
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Paper • 2504.03601 • Published • 16 -
Tuning-Free Image Editing with Fidelity and Editability via Unified Latent Diffusion Model
Paper • 2504.05594 • Published • 12 -
VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning
Paper • 2504.06958 • Published • 11 -
V-MAGE: A Game Evaluation Framework for Assessing Visual-Centric Capabilities in Multimodal Large Language Models
Paper • 2504.06148 • Published • 13 -
DDT: Decoupled Diffusion Transformer
Paper • 2504.05741 • Published • 75 -
A Unified Agentic Framework for Evaluating Conditional Image Generation
Paper • 2504.07046 • Published • 30 -
HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Paper • 2504.06232 • Published • 14 -
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 85 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 268 -
Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability
Paper • 2504.08003 • Published • 49 -
CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 10 -
How new data permeates LLM knowledge and how to dilute it
Paper • 2504.09522 • Published • 8 -
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
Paper • 2504.08600 • Published • 29 -
InteractVLM: 3D Interaction Reasoning from 2D Foundational Models
Paper • 2504.05303 • Published • 5 -
ModernBERT or DeBERTaV3? Examining Architecture and Data Influence on Transformer Encoder Models Performance
Paper • 2504.08716 • Published • 10 -
Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning
Paper • 2504.08672 • Published • 55 -
Efficient Generative Model Training via Embedded Representation Warmup
Paper • 2504.10188 • Published • 12 -
Iterative Self-Training for Code Generation via Reinforced Re-Ranking
Paper • 2504.09643 • Published • 34 -
Vidi: Large Multimodal Models for Video Understanding and Editing
Paper • 2504.15681 • Published • 15 -
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
Paper • 2504.16078 • Published • 20 -
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
Paper • 2504.13820 • Published • 17 -
WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents
Paper • 2504.15785 • Published • 19 -
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
Paper • 2504.16427 • Published • 17 -
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Paper • 2504.21776 • Published • 56 -
T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT
Paper • 2505.00703 • Published • 42 -
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks
Paper • 2505.00234 • Published • 26 -
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts
Paper • 2504.21117 • Published • 25 -
LLaMA-Omni2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis
Paper • 2505.02625 • Published • 22 -
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
Paper • 2504.20752 • Published • 91 -
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning
Paper • 2505.03318 • Published • 92 -
Improving Editability in Image Generation with Layer-wise Memory
Paper • 2505.01079 • Published • 28 -
Think on your Feet: Adaptive Thinking via Reinforcement Learning for Social Agents
Paper • 2505.02156 • Published • 17 -
An Empirical Study of Qwen3 Quantization
Paper • 2505.02214 • Published • 23 -
Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 74 -
A Survey on Inference Engines for Large Language Models: Perspectives on Optimization and Efficiency
Paper • 2505.01658 • Published • 35 -
Knowledge Augmented Complex Problem Solving with Large Language Models: A Survey
Paper • 2505.03418 • Published • 8 -
Multi-Agent System for Comprehensive Soccer Understanding
Paper • 2505.03735 • Published • 22 -
PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer
Paper • 2505.04622 • Published • 26 -
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
Paper • 2505.02847 • Published • 27 -
Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers
Paper • 2505.04842 • Published • 12 -
Sailing AI by the Stars: A Survey of Learning from Rewards in Post-Training and Test-Time Scaling of Large Language Models
Paper • 2505.02686 • Published • 15 -
MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
Paper • 2505.07608 • Published • 78 -
StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant
Paper • 2505.05467 • Published • 13 -
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
Paper • 2505.09568 • Published • 90 -
Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis
Paper • 2505.10046 • Published • 9 -
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models
Paper • 2505.10554 • Published • 118 -
OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning
Paper • 2505.08617 • Published • 41 -
AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning
Paper • 2505.11896 • Published • 57 -
Chain-of-Model Learning for Language Model
Paper • 2505.11820 • Published • 116 -
Quartet: Native FP4 Training Can Be Optimal for Large Language Models
Paper • 2505.14669 • Published • 73 -
s3: You Don't Need That Much Data to Train a Search Agent via RL
Paper • 2505.14146 • Published • 16 -
Synthetic Data RL: Task Definition Is All You Need
Paper • 2505.17063 • Published • 10 -
ComposeAnything: Composite Object Priors for Text-to-Image Generation
Paper • 2505.24086 • Published • 4