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Collections including paper arxiv:2312.05708

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 26
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 19
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 62

aMUSEd: An Open MUSE Reproduction

Paper • 2401.01808 • Published Jan 3 • 26
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3 • 26
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity

Paper • 2401.00604 • Published Dec 31, 2023 • 4
LARP: Language-Agent Role Play for Open-World Games

Paper • 2312.17653 • Published Dec 24, 2023 • 29

Context Tuning for Retrieval Augmented Generation

Paper • 2312.05708 • Published Dec 9, 2023 • 16
Dense X Retrieval: What Retrieval Granularity Should We Use?

Paper • 2312.06648 • Published Dec 11, 2023 • 1
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Paper • 2401.18059 • Published Jan 31 • 24
Retrieval-Augmented Generation for Large Language Models: A Survey

Paper • 2312.10997 • Published Dec 18, 2023 • 9

Context Tuning for Retrieval Augmented Generation

Paper • 2312.05708 • Published Dec 9, 2023 • 16

Context Tuning for Retrieval Augmented Generation

Paper • 2312.05708 • Published Dec 9, 2023 • 16
AnimateZero: Video Diffusion Models are Zero-Shot Image Animators

Paper • 2312.03793 • Published Dec 6, 2023 • 17
ProTIP: Progressive Tool Retrieval Improves Planning

Paper • 2312.10332 • Published Dec 16, 2023 • 7

Context Tuning for Retrieval Augmented Generation

Paper • 2312.05708 • Published Dec 9, 2023 • 16

Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models

Paper • 2312.06149 • Published Dec 11, 2023 • 2
Context Tuning for Retrieval Augmented Generation

Paper • 2312.05708 • Published Dec 9, 2023 • 16

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent

Paper • 2304.09542 • Published Apr 19, 2023 • 4
Dense X Retrieval: What Retrieval Granularity Should We Use?

Paper • 2312.06648 • Published Dec 11, 2023 • 1
Context Tuning for Retrieval Augmented Generation

Paper • 2312.05708 • Published Dec 9, 2023 • 16
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models

Paper • 2312.02969 • Published Dec 5, 2023 • 11

paper to review

VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence

Paper • 2312.02087 • Published Dec 4, 2023 • 19
FaceStudio: Put Your Face Everywhere in Seconds

Paper • 2312.02663 • Published Dec 5, 2023 • 28
Orthogonal Adaptation for Modular Customization of Diffusion Models

Paper • 2312.02432 • Published Dec 5, 2023 • 12
ReconFusion: 3D Reconstruction with Diffusion Priors

Paper • 2312.02981 • Published Dec 5, 2023 • 8

The Chosen One: Consistent Characters in Text-to-Image Diffusion Models

Paper • 2311.10093 • Published Nov 16, 2023 • 54
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

Paper • 2311.12092 • Published Nov 20, 2023 • 19
DREAM: Diffusion Rectification and Estimation-Adaptive Models

Paper • 2312.00210 • Published Nov 30, 2023 • 14
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models

Paper • 2312.00079 • Published Nov 30, 2023 • 14

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