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Collections including paper arxiv:2401.04925

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 109
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 42
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 22
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15, 2024 • 38

Large Language Models 2024

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18
Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 43
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Paper • 2402.03300 • Published Feb 5, 2024 • 137

Reasoning and Planning

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 44
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

Unicron: Economizing Self-Healing LLM Training at Scale

Paper • 2401.00134 • Published Dec 30, 2023 • 12
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Paper • 2401.00788 • Published Jan 1, 2024 • 23
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Paper • 2401.04398 • Published Jan 9, 2024 • 25
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 31
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

Paper • 2408.08152 • Published Aug 15, 2024 • 60
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23, 2024 • 22
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29, 2024 • 56
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28, 2024 • 20

large language modelling

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2, 2024 • 55
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk

Paper • 2401.05033 • Published Jan 10, 2024 • 18
Towards Conversational Diagnostic AI

Paper • 2401.05654 • Published Jan 11, 2024 • 20

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes

Paper • 2401.05335 • Published Jan 10, 2024 • 29
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk

Paper • 2401.05033 • Published Jan 10, 2024 • 18
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 109
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 42
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 22
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15, 2024 • 38

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 31
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18

Large Language Models 2024

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18
Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 43
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 105

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search

Paper • 2408.08152 • Published Aug 15, 2024 • 60
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23, 2024 • 22
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29, 2024 • 56
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28, 2024 • 20

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Paper • 2402.03300 • Published Feb 5, 2024 • 137

large language modelling

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2, 2024 • 55
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk

Paper • 2401.05033 • Published Jan 10, 2024 • 18
Towards Conversational Diagnostic AI

Paper • 2401.05654 • Published Jan 11, 2024 • 20

Reasoning and Planning

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 44
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18

Unicron: Economizing Self-Healing LLM Training at Scale

Paper • 2401.00134 • Published Dec 30, 2023 • 12
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Paper • 2401.00788 • Published Jan 1, 2024 • 23
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Paper • 2401.04398 • Published Jan 9, 2024 • 25
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4, 2024 • 65
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes

Paper • 2401.05335 • Published Jan 10, 2024 • 29
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk

Paper • 2401.05033 • Published Jan 10, 2024 • 18
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10, 2024 • 18

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