innovation64 (Yang Lee)

upvoted a paper about 23 hours ago

LoRA Learns Less and Forgets Less

Paper • 2405.09673 • Published 5 days ago • 54

upvoted a paper 4 days ago

RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 62

upvoted 2 papers 14 days ago

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Paper • 2405.01535 • Published 18 days ago • 92

Is Bigger Edit Batch Size Always Better? -- An Empirical Study on Model Editing with Llama-3

Paper • 2405.00664 • Published 19 days ago • 16

upvoted a paper 18 days ago

Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge

Paper • 2405.00263 • Published 20 days ago • 13

upvoted a collection 21 days ago

RAG

Collection

RAG research • 6 items • Updated 5 days ago • 1

upvoted 2 papers 22 days ago

Layer Skip: Enabling Early Exit Inference and Self-Speculative Decoding

Paper • 2404.16710 • Published 25 days ago • 55

Make Your LLM Fully Utilize the Context

Paper • 2404.16811 • Published 25 days ago • 51

upvoted an article 26 days ago

Article

The Open Medical-LLM Leaderboard: Benchmarking Large Language Models in Healthcare

Apr 19

• 64

upvoted 3 collections about 1 month ago

upvoted 2 papers about 1 month ago

Pre-training Small Base LMs with Fewer Tokens

Paper • 2404.08634 • Published Apr 12 • 32

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 79

upvoted an article about 1 month ago

Article

Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval

Mar 22

• 35

upvoted a paper about 1 month ago

Stream of Search (SoS): Learning to Search in Language

Paper • 2404.03683 • Published Apr 1 • 21

upvoted 6 papers about 2 months ago

The Unreasonable Ineffectiveness of the Deeper Layers

Paper • 2403.17887 • Published Mar 26 • 75

OctoPack: Instruction Tuning Code Large Language Models

Paper • 2308.07124 • Published Aug 14, 2023 • 27

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 30

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X

Paper • 2303.17568 • Published Mar 30, 2023 • 2

Evaluating Frontier Models for Dangerous Capabilities

Paper • 2403.13793 • Published Mar 20 • 7

Recourse for reclamation: Chatting with generative language models

Paper • 2403.14467 • Published Mar 21 • 6

upvoted 9 papers 2 months ago

BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences

Paper • 2403.09347 • Published Mar 14 • 20

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 119

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)

Paper • 2309.08968 • Published Sep 16, 2023 • 22

Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 43

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 50

CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion

Paper • 2403.05121 • Published Mar 8 • 16

Design2Code: How Far Are We From Automating Front-End Engineering?

Paper • 2403.03163 • Published Mar 5 • 92

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6 • 172

ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Paper • 2403.03853 • Published Mar 6 • 61

upvoted 9 papers 3 months ago

AtP*: An efficient and scalable method for localizing LLM behaviour to components

Paper • 2403.00745 • Published Mar 1 • 8

Learning and Leveraging World Models in Visual Representation Learning

Paper • 2403.00504 • Published Mar 1 • 25

Resonance RoPE: Improving Context Length Generalization of Large Language Models

Paper • 2403.00071 • Published Feb 29 • 19

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 17

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 566

Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 17

Linear Transformers are Versatile In-Context Learners

Paper • 2402.14180 • Published Feb 21 • 5

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

Paper • 2402.14083 • Published Feb 21 • 43

Large Language Models as Zero-shot Dialogue State Tracker through Function Calling

Paper • 2402.10466 • Published Feb 16 • 16

upvoted 5 papers 4 months ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 20

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Paper • 2401.15077 • Published Jan 26 • 17

Learning Universal Predictors

Paper • 2401.14953 • Published Jan 26 • 18

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19 • 53

upvoted 3 papers 5 months ago

Time is Encoded in the Weights of Finetuned Language Models

Paper • 2312.13401 • Published Dec 20, 2023 • 18

SparQ Attention: Bandwidth-Efficient LLM Inference

Paper • 2312.04985 • Published Dec 8, 2023 • 35

Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models

Paper • 2312.04724 • Published Dec 7, 2023 • 18

upvoted 2 papers 6 months ago

Merlin:Empowering Multimodal LLMs with Foresight Minds

Paper • 2312.00589 • Published Nov 30, 2023 • 24

GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 171

upvoted 2 papers 7 months ago

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Paper • 2311.01455 • Published Nov 2, 2023 • 25

Does GPT-4 Pass the Turing Test?

Paper • 2310.20216 • Published Oct 31, 2023 • 17

Yang Lee

AI & ML interests

Organizations

innovation64's activity

The Open Medical-LLM Leaderboard: Benchmarking Large Language Models in Healthcare

Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval