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Collections including paper arxiv:2405.20541

Papers I want to read

Papers in my to read least

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 64
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 122
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 52
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 78

PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 52
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 75
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 39
Context-Aware Meta-Learning

Paper • 2310.10971 • Published Oct 17, 2023 • 16

Dataset and Data processing

Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30 • 20

Foundation AI Papers (II)

Iterative Reasoning Preference Optimization

Paper • 2404.19733 • Published Apr 30 • 45
Better & Faster Large Language Models via Multi-token Prediction

Paper • 2404.19737 • Published Apr 30 • 72
ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12 • 59
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30 • 105

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 84
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 • 24

Synthetic Data and Self-Improvement

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 140
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6 • 109
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Paper • 2402.07456 • Published Feb 12 • 40
Learning From Mistakes Makes LLM Better Reasoner

Paper • 2310.20689 • Published Oct 31, 2023 • 28

Watermarking Makes Language Models Radioactive

Paper • 2402.14904 • Published Feb 22 • 22
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23 • 19
GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23 • 19
DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation

Paper • 2402.11929 • Published Feb 19 • 9

papaer selecting

Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Paper • 2402.14083 • Published Feb 21 • 43
Linear Transformers are Versatile In-Context Learners

Paper • 2402.14180 • Published Feb 21 • 6
Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 19
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 585

Rethinking Optimization and Architecture for Tiny Language Models

Paper • 2402.02791 • Published Feb 5 • 12
More Agents Is All You Need

Paper • 2402.05120 • Published Feb 3 • 51
Scaling Laws for Forgetting When Fine-Tuning Large Language Models

Paper • 2401.05605 • Published Jan 11
Aligning Large Language Models with Counterfactual DPO

Paper • 2401.09566 • Published Jan 17 • 2

Dataset pruning/cleaning/dedup

AlpaGasus: Training A Better Alpaca with Fewer Data

Paper • 2307.08701 • Published Jul 17, 2023 • 22
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Paper • 2303.03915 • Published Mar 7, 2023 • 6
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Paper • 2309.04662 • Published Sep 9, 2023 • 22
SlimPajama-DC: Understanding Data Combinations for LLM Training

Paper • 2309.10818 • Published Sep 19, 2023 • 10

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