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Collections including paper arxiv:2310.09263

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

Papers - Text - Perform Tasks on Tabular Data

Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 39
approximatelabs/tablib-v1-full

Viewer • Updated Oct 13, 2023 • 543k • 116 • 62
approximatelabs/tablib-v1-sample

Viewer • Updated Oct 13, 2023 • 44.9k • 238 • 13
TabLib: A Dataset of 627M Tables with Context

Paper • 2310.07875 • Published Oct 11, 2023 • 8

Papers - Fine-tuning - Understanding Tables

Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 39

Papers - Fine-tuning

about 1 month ago

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

Paper • 2310.20587 • Published Oct 31, 2023 • 16
SELF: Language-Driven Self-Evolution for Large Language Model

Paper • 2310.00533 • Published Oct 1, 2023 • 2
QLoRA: Efficient Finetuning of Quantized LLMs

Paper • 2305.14314 • Published May 23, 2023 • 45
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Paper • 2309.14717 • Published Sep 26, 2023 • 43

Papers - Training Research

Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 61

Metadata Might Make Language Models Better

Paper • 2211.10086 • Published Nov 18, 2022 • 4
Empirical Analysis of the Strengths and Weaknesses of PEFT Techniques for LLMs

Paper • 2304.14999 • Published Apr 28, 2023 • 2
PEFT for Speech: Unveiling Optimal Placement, Merging Strategies, and Ensemble Techniques

Paper • 2401.02122 • Published Jan 4 • 2
Zephyr: Direct Distillation of LM Alignment

Paper • 2310.16944 • Published Oct 25, 2023 • 120

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 140
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 • 63

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT

Paper • 2307.08674 • Published Jul 17, 2023 • 47
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 39

Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 39

Effective Distillation of Table-based Reasoning Ability from LLMs

Paper • 2309.13182 • Published Sep 22, 2023 • 1
Table-GPT: Table-tuned GPT for Diverse Table Tasks

Paper • 2310.09263 • Published Oct 13, 2023 • 39
Tab-CoT: Zero-shot Tabular Chain of Thought

Paper • 2305.17812 • Published May 28, 2023 • 2
GitTables: A Large-Scale Corpus of Relational Tables

Paper • 2106.07258 • Published Jun 14, 2021 • 1

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