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Collections including paper arxiv:2506.15211

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

Paper • 2402.04252 • Published Feb 6, 2024 • 28
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

ByteDance Papers

ByteDance papers collection

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Paper • 2105.09501 • Published May 20, 2021
Cross-modal Contrastive Learning for Speech Translation

Paper • 2205.02444 • Published May 5, 2022
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs

Paper • 2210.03052 • Published Oct 6, 2022
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning

Paper • 2212.10240 • Published Dec 20, 2022 • 1

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 30
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models

Paper • 2411.05005 • Published Nov 7, 2024 • 13
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models

Paper • 2411.04075 • Published Nov 6, 2024 • 17
Self-Consistency Preference Optimization

Paper • 2411.04109 • Published Nov 6, 2024 • 19

DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 41
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 55
Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Paper • 2406.06592 • Published Jun 5, 2024 • 29
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Paper • 2406.07394 • Published Jun 11, 2024 • 29

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 18
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
ARM: Adaptive Reasoning Model

Paper • 2505.20258 • Published May 26 • 45
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

Paper • 2505.19914 • Published May 26 • 43

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Paper • 2505.10320 • Published May 15 • 24
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

Paper • 2505.09343 • Published May 14 • 71
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

Paper • 2505.10554 • Published May 15 • 120
Scaling Reasoning can Improve Factuality in Large Language Models

Paper • 2505.11140 • Published May 16 • 7

Bootstrapping Language Models with DPO Implicit Rewards

Paper • 2406.09760 • Published Jun 14, 2024 • 40
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17, 2024 • 65
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs

Paper • 2406.14544 • Published Jun 20, 2024 • 35
Instruction Pre-Training: Language Models are Supervised Multitask Learners

Paper • 2406.14491 • Published Jun 20, 2024 • 95

ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
Language Models can be Logical Solvers

Paper • 2311.06158 • Published Nov 10, 2023 • 23
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Paper • 2311.05997 • Published Nov 10, 2023 • 37
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Paper • 2311.05657 • Published Nov 9, 2023 • 32

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

Paper • 2402.04252 • Published Feb 6, 2024 • 28
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

s3: You Don't Need That Much Data to Train a Search Agent via RL

Paper • 2505.14146 • Published May 20 • 18
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
ARM: Adaptive Reasoning Model

Paper • 2505.20258 • Published May 26 • 45
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

Paper • 2505.19914 • Published May 26 • 43

ByteDance Papers

ByteDance papers collection

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Paper • 2105.09501 • Published May 20, 2021
Cross-modal Contrastive Learning for Speech Translation

Paper • 2205.02444 • Published May 5, 2022
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs

Paper • 2210.03052 • Published Oct 6, 2022
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning

Paper • 2212.10240 • Published Dec 20, 2022 • 1

J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning

Paper • 2505.10320 • Published May 15 • 24
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

Paper • 2505.09343 • Published May 14 • 71
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

Paper • 2505.10554 • Published May 15 • 120
Scaling Reasoning can Improve Factuality in Large Language Models

Paper • 2505.11140 • Published May 16 • 7

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 30
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models

Paper • 2411.05005 • Published Nov 7, 2024 • 13
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models

Paper • 2411.04075 • Published Nov 6, 2024 • 17
Self-Consistency Preference Optimization

Paper • 2411.04109 • Published Nov 6, 2024 • 19

Bootstrapping Language Models with DPO Implicit Rewards

Paper • 2406.09760 • Published Jun 14, 2024 • 40
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Paper • 2406.11931 • Published Jun 17, 2024 • 65
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs

Paper • 2406.14544 • Published Jun 20, 2024 • 35
Instruction Pre-Training: Language Models are Supervised Multitask Learners

Paper • 2406.14491 • Published Jun 20, 2024 • 95

DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 41
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 55
Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Paper • 2406.06592 • Published Jun 5, 2024 • 29
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Paper • 2406.07394 • Published Jun 11, 2024 • 29

ChipNeMo: Domain-Adapted LLMs for Chip Design

Paper • 2311.00176 • Published Oct 31, 2023 • 9
Language Models can be Logical Solvers

Paper • 2311.06158 • Published Nov 10, 2023 • 23
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Paper • 2311.05997 • Published Nov 10, 2023 • 37
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Paper • 2311.05657 • Published Nov 9, 2023 • 32

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