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Collections including paper arxiv:2404.14469

Papers - Document - Understanding

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions

Paper • 2403.15246 • Published Mar 22, 2024 • 11
Noise-Aware Training of Layout-Aware Language Models

Paper • 2404.00488 • Published Mar 30, 2024 • 10
SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22, 2024 • 27

Foundation AI Papers

Curated List of Must-Reads on LLM reasoning at Temus AI team

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 10
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 109
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization

Paper • 2402.09320 • Published Feb 14, 2024 • 6
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws

Paper • 2401.00448 • Published Dec 31, 2023 • 30
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 82
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models

Paper • 2401.06951 • Published Jan 13, 2024 • 26
The Unreasonable Ineffectiveness of the Deeper Layers

Paper • 2403.17887 • Published Mar 26, 2024 • 82

Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29, 2024 • 53
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29, 2024 • 56
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

Paper • 2403.00522 • Published Mar 1, 2024 • 46
Resonance RoPE: Improving Context Length Generalization of Large Language Models

Paper • 2403.00071 • Published Feb 29, 2024 • 24

BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 22
OneBit: Towards Extremely Low-bit Large Language Models

Paper • 2402.11295 • Published Feb 17, 2024 • 24
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Paper • 2402.04291 • Published Feb 6, 2024 • 50
GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23, 2024 • 22

Papers - Document - Understanding

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions

Paper • 2403.15246 • Published Mar 22, 2024 • 11
Noise-Aware Training of Layout-Aware Language Models

Paper • 2404.00488 • Published Mar 30, 2024 • 10
SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22, 2024 • 27

Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29, 2024 • 53
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29, 2024 • 56
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

Paper • 2403.00522 • Published Mar 1, 2024 • 46
Resonance RoPE: Improving Context Length Generalization of Large Language Models

Paper • 2403.00071 • Published Feb 29, 2024 • 24

Foundation AI Papers

Curated List of Must-Reads on LLM reasoning at Temus AI team

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 10
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 109
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization

Paper • 2402.09320 • Published Feb 14, 2024 • 6
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6, 2024 • 117

BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 22
OneBit: Towards Extremely Low-bit Large Language Models

Paper • 2402.11295 • Published Feb 17, 2024 • 24
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Paper • 2402.04291 • Published Feb 6, 2024 • 50
GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23, 2024 • 22

Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws

Paper • 2401.00448 • Published Dec 31, 2023 • 30
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 82
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models

Paper • 2401.06951 • Published Jan 13, 2024 • 26
The Unreasonable Ineffectiveness of the Deeper Layers

Paper • 2403.17887 • Published Mar 26, 2024 • 82

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