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Collections including paper arxiv:2402.07625

about 10 hours ago

PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 53
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

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

Paper • 2402.06332 • Published Feb 9 • 18
AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts

Paper • 2402.07625 • Published Feb 12 • 11
Reformatted Alignment

Paper • 2402.12219 • Published Feb 19 • 15

AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts

Paper • 2402.07625 • Published Feb 12 • 11
Rethinking Data Selection for Supervised Fine-Tuning

Paper • 2402.06094 • Published Feb 8 • 1
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46
TnT-LLM: Text Mining at Scale with Large Language Models

Paper • 2403.12173 • Published Mar 18 • 19

Deivid Coleccion

AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts

Paper • 2402.07625 • Published Feb 12 • 11

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 52
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28 • 18
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23 • 19
Linear Transformers are Versatile In-Context Learners

Paper • 2402.14180 • Published Feb 21 • 6

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 141
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 20
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 64

Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models

Paper • 2311.06783 • Published Nov 12, 2023 • 26
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Paper • 2311.07574 • Published Nov 13, 2023 • 14
Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding

Paper • 2401.04575 • Published Jan 9 • 14
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Paper • 2402.00159 • Published Jan 31 • 59

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