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Collections including paper arxiv:2509.04292

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

This collection is a list of papers I find to be very interesting.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 625
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 300
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 309
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 209

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 255 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Paper • 2405.07526 • Published May 13, 2024 • 21
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Paper • 2405.15613 • Published May 24, 2024 • 17
A Touch, Vision, and Language Dataset for Multimodal Alignment

Paper • 2402.13232 • Published Feb 20, 2024 • 16
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 69
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 21
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning

Paper • 2504.07128 • Published Apr 2 • 86
BM25S: Orders of magnitude faster lexical search via eager sparse scoring

Paper • 2407.03618 • Published Jul 4, 2024 • 13
Deep Think with Confidence

Paper • 2508.15260 • Published Aug 21 • 88
R-Zero: Self-Evolving Reasoning LLM from Zero Data

Paper • 2508.05004 • Published Aug 7 • 127

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment

Paper • 2410.13785 • Published Oct 17, 2024 • 19
Aligning Large Language Models via Self-Steering Optimization

Paper • 2410.17131 • Published Oct 22, 2024 • 24
Baichuan Alignment Technical Report

Paper • 2410.14940 • Published Oct 19, 2024 • 51
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation

Paper • 2410.14745 • Published Oct 17, 2024 • 47

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 84
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

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

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 69
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 21
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

This collection is a list of papers I find to be very interesting.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 625
MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 300
Group Sequence Policy Optimization

Paper • 2507.18071 • Published Jul 24 • 309
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth

Paper • 2509.03867 • Published Sep 4 • 209

DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning

Paper • 2504.07128 • Published Apr 2 • 86
BM25S: Orders of magnitude faster lexical search via eager sparse scoring

Paper • 2407.03618 • Published Jul 4, 2024 • 13
Deep Think with Confidence

Paper • 2508.15260 • Published Aug 21 • 88
R-Zero: Self-Evolving Reasoning LLM from Zero Data

Paper • 2508.05004 • Published Aug 7 • 127

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 255 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment

Paper • 2410.13785 • Published Oct 17, 2024 • 19
Aligning Large Language Models via Self-Steering Optimization

Paper • 2410.17131 • Published Oct 22, 2024 • 24
Baichuan Alignment Technical Report

Paper • 2410.14940 • Published Oct 19, 2024 • 51
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation

Paper • 2410.14745 • Published Oct 17, 2024 • 47

MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels

Paper • 2405.07526 • Published May 13, 2024 • 21
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Paper • 2405.15613 • Published May 24, 2024 • 17
A Touch, Vision, and Language Dataset for Multimodal Alignment

Paper • 2402.13232 • Published Feb 20, 2024 • 16
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 84
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

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