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Collections including paper arxiv:2407.01920

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 140
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20 • 10
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24 • 48
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 44

Eliminating Position Bias of Language Models: A Mechanistic Approach

Paper • 2407.01100 • Published Jul 1 • 6
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models

Paper • 2407.01920 • Published Jul 2 • 13
LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29 • 37

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models

Paper • 2407.01920 • Published Jul 2 • 13
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Paper • 2407.00106 • Published Jun 27 • 5

Alignment - Contents Regulation - Unlearning

Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15 • 82
Aligning Teacher with Student Preferences for Tailored Training Data Generation

Paper • 2406.19227 • Published Jun 27 • 24
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1 • 22
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues

Paper • 2404.03820 • Published Apr 4 • 23

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17 • 29
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18 • 20
Tokenization Falling Short: The Curse of Tokenization

Paper • 2406.11687 • Published Jun 17 • 14
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Paper • 2406.11817 • Published Jun 17 • 13

Large Language Model Unlearning via Embedding-Corrupted Prompts

Paper • 2406.07933 • Published Jun 12 • 6
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4 • 36
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning

Paper • 2406.12050 • Published Jun 17 • 10
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17 • 29

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3 • 47
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18 • 52
SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22 • 23
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17 • 32

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