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Discover the best community collections!

Collections including paper arxiv:2211.17192

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13, 2024 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 129
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 87

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

Paper • 2408.15545 • Published Aug 28, 2024 • 35
Controllable Text Generation for Large Language Models: A Survey

Paper • 2408.12599 • Published Aug 22, 2024 • 64
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 42
Automated Design of Agentic Systems

Paper • 2408.08435 • Published Aug 15, 2024 • 39

生成式AI導論 2024

https://www.youtube.com/@HungyiLeeNTU

Re3: Generating Longer Stories With Recursive Reprompting and Revision

Paper • 2210.06774 • Published Oct 13, 2022 • 2
Constitutional AI: Harmlessness from AI Feedback

Paper • 2212.08073 • Published Dec 15, 2022 • 2
AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls

Paper • 2402.04253 • Published Feb 6, 2024
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Paper • 2305.19118 • Published May 30, 2023

Papers - Sampling

Priority Sampling of Large Language Models for Compilers

Paper • 2402.18734 • Published Feb 28, 2024 • 17
Accelerating Large Language Model Decoding with Speculative Sampling

Paper • 2302.01318 • Published Feb 2, 2023 • 2
Fast Inference from Transformers via Speculative Decoding

Paper • 2211.17192 • Published Nov 30, 2022 • 4
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Paper • 2011.09011 • Published Nov 18, 2020 • 2

Models - Custom-Training

exploring speculative sampling with autoregressive model like: https://proceedings.mlr.press/v139/song21a.html and https://proceedings.mlr.press/v119/

Accelerating Large Language Model Decoding with Speculative Sampling

Paper • 2302.01318 • Published Feb 2, 2023 • 2
Fast Inference from Transformers via Speculative Decoding

Paper • 2211.17192 • Published Nov 30, 2022 • 4

Efficient Streaming Language Models with Attention Sinks

Paper • 2309.17453 • Published Sep 29, 2023 • 13
Simple and Controllable Music Generation

Paper • 2306.05284 • Published Jun 8, 2023 • 147
FinGPT: Large Generative Models for a Small Language

Paper • 2311.05640 • Published Nov 3, 2023 • 28
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Paper • 2305.07185 • Published May 12, 2023 • 9

S^{3}: Increasing GPU Utilization during Generative Inference for Higher Throughput

Paper • 2306.06000 • Published Jun 9, 2023 • 1
Fast Distributed Inference Serving for Large Language Models

Paper • 2305.05920 • Published May 10, 2023 • 1
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline

Paper • 2305.13144 • Published May 22, 2023 • 1
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference

Paper • 2303.06182 • Published Mar 10, 2023 • 1

AutoMix: Automatically Mixing Language Models

Paper • 2310.12963 • Published Oct 19, 2023 • 14
Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

Paper • 2310.03094 • Published Oct 4, 2023 • 12
MatFormer: Nested Transformer for Elastic Inference

Paper • 2310.07707 • Published Oct 11, 2023 • 1
DistillSpec: Improving Speculative Decoding via Knowledge Distillation

Paper • 2310.08461 • Published Oct 12, 2023 • 1

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