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Collections including paper arxiv:2401.00368

TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones

Paper • 2312.16862 • Published Dec 28, 2023 • 30
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Paper • 2312.17172 • Published Dec 28, 2023 • 27
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers

Paper • 2401.01974 • Published Jan 3, 2024 • 5
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Paper • 2401.01885 • Published Jan 3, 2024 • 27

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 79

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 79

Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws

Paper • 2401.00448 • Published Dec 31, 2023 • 28
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 79
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models

Paper • 2401.06951 • Published Jan 13, 2024 • 25
The Unreasonable Ineffectiveness of the Deeper Layers

Paper • 2403.17887 • Published Mar 26, 2024 • 78

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 79

Paper reading list

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 79
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2, 2024 • 54
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 181
LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Paper • 2312.11514 • Published Dec 12, 2023 • 257

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 79

Dense X Retrieval: What Retrieval Granularity Should We Use?

Paper • 2312.06648 • Published Dec 11, 2023 • 1
Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 79
Text Embeddings Reveal (Almost) As Much As Text

Paper • 2310.06816 • Published Oct 10, 2023 • 1
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16, 2024 • 37

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions

Paper • 2312.08578 • Published Dec 14, 2023 • 16
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks

Paper • 2312.08583 • Published Dec 14, 2023 • 9
Vision-Language Models as a Source of Rewards

Paper • 2312.09187 • Published Dec 14, 2023 • 11
StemGen: A music generation model that listens

Paper • 2312.08723 • Published Dec 14, 2023 • 47

Interesting datasets for Dewey

GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 187
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models

Paper • 2312.02969 • Published Dec 5, 2023 • 12
Axiomatic Preference Modeling for Longform Question Answering

Paper • 2312.02206 • Published Dec 2, 2023 • 7
Alignment for Honesty

Paper • 2312.07000 • Published Dec 12, 2023 • 11

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