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Collections including paper arxiv:2406.19227

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 8 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 21
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 79
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 25

Aligning Teacher with Student Preferences for Tailored Training Data Generation

Paper • 2406.19227 • Published Jun 27 • 24
Pre-training Distillation for Large Language Models: A Design Space Exploration

Paper • 2410.16215 • Published 1 day ago • 12
Baichuan Alignment Technical Report

Paper • 2410.14940 • Published 4 days ago • 38

Internal Consistency and Self-Feedback in Large Language Models: A Survey

Paper • 2407.14507 • Published Jul 19 • 46
New Desiderata for Direct Preference Optimization

Paper • 2407.09072 • Published Jul 12 • 9
Self-Recognition in Language Models

Paper • 2407.06946 • Published Jul 9 • 24
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Paper • 2407.04842 • Published Jul 5 • 52

Interesting Papers

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs

Paper • 2407.00653 • Published Jun 30 • 11
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs

Paper • 2406.20086 • Published Jun 28 • 4
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Paper • 2407.00106 • Published Jun 27 • 5
MIRAI: Evaluating LLM Agents for Event Forecasting

Paper • 2407.01231 • Published Jul 1 • 15

Synthetic Data Generation

Aligning Teacher with Student Preferences for Tailored Training Data Generation

Paper • 2406.19227 • Published Jun 27 • 24
Training Task Experts through Retrieval Based Distillation

Paper • 2407.05463 • Published Jul 7 • 6

Alignment and 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 • 23
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues

Paper • 2404.03820 • Published Apr 4 • 24

Large Language Model Unlearning via Embedding-Corrupted Prompts

Paper • 2406.07933 • Published Jun 12 • 7
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 • 18
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17 • 30

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 34
Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 49
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

Paper • 2403.00522 • Published Mar 1 • 44
Stealing Part of a Production Language Model

Paper • 2403.06634 • Published Mar 11 • 90

Learning from feedback dir

Suppressing Pink Elephants with Direct Principle Feedback

Paper • 2402.07896 • Published Feb 12 • 9
Policy Improvement using Language Feedback Models

Paper • 2402.07876 • Published Feb 12 • 5
Direct Language Model Alignment from Online AI Feedback

Paper • 2402.04792 • Published Feb 7 • 28
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Paper • 2401.01335 • Published Jan 2 • 64

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