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Collections including paper arxiv:2410.10630

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Paper • 2506.19290 • Published Jun 24 • 52
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Paper • 2105.12655 • Published May 25, 2021
StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29, 2024 • 151

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Paper • 2408.06195 • Published Aug 12, 2024 • 73
Thinking LLMs: General Instruction Following with Thought Generation

Paper • 2410.10630 • Published Oct 14, 2024 • 20
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16
OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning

Paper • 2412.16849 • Published Dec 22, 2024 • 9

Thinking LLMs: General Instruction Following with Thought Generation

Paper • 2410.10630 • Published Oct 14, 2024 • 20

PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 53
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 41
Context-Aware Meta-Learning

Paper • 2310.10971 • Published Oct 17, 2023 • 17

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

Paper • 2402.17764 • Published Feb 27, 2024 • 626
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 105
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2, 2024 • 107
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14, 2024 • 43

Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 90
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights

Paper • 2406.14596 • Published Jun 20, 2024 • 5
A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More

Paper • 2407.16216 • Published Jul 23, 2024

Research papers - find implementations in github

RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Paper • 2410.02089 • Published Oct 2, 2024 • 13
Thinking LLMs: General Instruction Following with Thought Generation

Paper • 2410.10630 • Published Oct 14, 2024 • 20

General Instruction Following with Thought Generation

Thinking LLMs: General Instruction Following with Thought Generation

Paper • 2410.10630 • Published Oct 14, 2024 • 20

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11, 2024 • 93
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16, 2024 • 23
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20, 2024 • 26
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14, 2024 • 30

Synthetic Data and Self-Improvement

Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI

Paper • 2505.19443 • Published May 26 • 15
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs

Paper • 2506.19290 • Published Jun 24 • 52
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Paper • 2105.12655 • Published May 25, 2021
StarCoder 2 and The Stack v2: The Next Generation

Paper • 2402.19173 • Published Feb 29, 2024 • 151

Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 90
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights

Paper • 2406.14596 • Published Jun 20, 2024 • 5
A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More

Paper • 2407.16216 • Published Jul 23, 2024

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Paper • 2408.06195 • Published Aug 12, 2024 • 73
Thinking LLMs: General Instruction Following with Thought Generation

Paper • 2410.10630 • Published Oct 14, 2024 • 20
Democratizing Reasoning Ability: Tailored Learning from Large Language Model

Paper • 2310.13332 • Published Oct 20, 2023 • 16
OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning

Paper • 2412.16849 • Published Dec 22, 2024 • 9

Research papers - find implementations in github

RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Paper • 2410.02089 • Published Oct 2, 2024 • 13
Thinking LLMs: General Instruction Following with Thought Generation

Paper • 2410.10630 • Published Oct 14, 2024 • 20

Thinking LLMs: General Instruction Following with Thought Generation

Paper • 2410.10630 • Published Oct 14, 2024 • 20

General Instruction Following with Thought Generation

Thinking LLMs: General Instruction Following with Thought Generation

Paper • 2410.10630 • Published Oct 14, 2024 • 20

PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 53
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 81
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 41
Context-Aware Meta-Learning

Paper • 2310.10971 • Published Oct 17, 2023 • 17

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11, 2024 • 93
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16, 2024 • 23
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20, 2024 • 26
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14, 2024 • 30

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

Paper • 2402.17764 • Published Feb 27, 2024 • 626
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 105
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2, 2024 • 107
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14, 2024 • 43

Synthetic Data and Self-Improvement

Training Software Engineering Agents and Verifiers with SWE-Gym

Paper • 2412.21139 • Published Dec 30, 2024 • 24
Evaluating Language Models as Synthetic Data Generators

Paper • 2412.03679 • Published Dec 4, 2024 • 48
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 151
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

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