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Mar 3
Mar 3
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Discover the best community collections!
Collections including paper arxiv:2305.09857
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Feb 15
Feb 15
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Jan 24
Jan 24
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Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 62 -
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 16 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 36 -
Attention Is All You Need
Paper • 1706.03762 • Published • 44
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Nov 24, 2023
Nov 24, 2023
Collection by
Mar 24
Mar 24
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Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task
Paper • 2307.03972 • Published • 1 -
GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning
Paper • 2307.13923 • Published • 1 -
Evaluating GPT-3.5 and GPT-4 on Grammatical Error Correction for Brazilian Portuguese
Paper • 2306.15788 • Published • 2 -
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?
Paper • 2305.15183 • Published • 1
Collection by
Jan 16
Jan 16
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CoEdIT: Text Editing by Task-Specific Instruction Tuning
Paper • 2305.09857 • Published • 7 -
Reducing Sequence Length by Predicting Edit Operations with Large Language Models
Paper • 2305.11862 • Published • 1 -
Controlled Generation with Prompt Insertion for Natural Language Explanations in Grammatical Error Correction
Paper • 2309.11439 • Published • 1 -
Program Merge Conflict Resolution via Neural Transformers
Paper • 2109.00084 • Published • 1
Collection by
Apr 10
Apr 10
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DEFT: Data Efficient Fine-Tuning for Large Language Models via Unsupervised Core-Set Selection
Paper • 2310.16776 • Published -
Towards an On-device Agent for Text Rewriting
Paper • 2308.11807 • Published -
Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions
Paper • 2308.00425 • Published -
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting
Paper • 2305.15685 • Published • 4
Collection by
Apr 10
Apr 10
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Tuna: Instruction Tuning using Feedback from Large Language Models
Paper • 2310.13385 • Published • 10 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 11 -
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
Paper • 2310.00492 • Published • 2
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Apr 15
Apr 15
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Jul 22
Jul 22
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 11 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1