Models
Datasets
Spaces
Posts
Docs
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2404.03592

AI Paper of the Day

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

about 10 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 20
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 76
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 22

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 • 8
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 91
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization

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

Paper • 2402.03620 • Published Feb 6 • 104

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16 • 13
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20 • 24
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14 • 23

ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 74

ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 74

ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 74

papers-efficiency

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 102
ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 74

Papers - Fine-tuning - Report - Llama 7B and 13B

ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 74

Papers - Fine-tuning - ReFT

In this paper, we propose a strong alternative to PEFTs, LoReFT. LoReFT achieves strong per- formance across benchmarks from four domains while being

ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 74

The Unreasonable Ineffectiveness of the Deeper Layers

Paper • 2403.17887 • Published Mar 26 • 75
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 102
ReFT: Representation Finetuning for Language Models

Paper • 2404.03592 • Published Apr 4 • 74
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 58

Previous
1
2
3
Next

Company

© Hugging Face

TOS Privacy About Jobs

Website

Models Datasets Spaces Pricing Docs