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Collections including paper arxiv:2401.04925

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 98
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 38
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15 • 17
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15 • 35

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 21
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30 • 16
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 15

Large Language Models 2024

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4 • 61
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 15
Lost in the Middle: How Language Models Use Long Contexts

Paper • 2307.03172 • Published Jul 6, 2023 • 35
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 41

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 52
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28 • 18
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23 • 19
Linear Transformers are Versatile In-Context Learners

Paper • 2402.14180 • Published Feb 21 • 6

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 15
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Paper • 2402.03300 • Published Feb 5 • 67

large language modelling

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 15
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2 • 53
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk

Paper • 2401.05033 • Published Jan 10 • 15
Towards Conversational Diagnostic AI

Paper • 2401.05654 • Published Jan 11 • 15

Reasoning and Planning

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 15
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 34
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6 • 109

The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 15

Unicron: Economizing Self-Healing LLM Training at Scale

Paper • 2401.00134 • Published Dec 30, 2023 • 9
Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models

Paper • 2401.00788 • Published Jan 1 • 21
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Paper • 2401.04398 • Published Jan 9 • 20
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 15

Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4 • 61
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes

Paper • 2401.05335 • Published Jan 10 • 26
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk

Paper • 2401.05033 • Published Jan 10 • 15
The Impact of Reasoning Step Length on Large Language Models

Paper • 2401.04925 • Published Jan 10 • 15

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