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Collections including paper arxiv:2311.00272

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 143
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

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 14
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 7
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 14

LLMs understading code

Magicoder: Source Code Is All You Need

Paper • 2312.02120 • Published Dec 4, 2023 • 79
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation

Paper • 2311.00272 • Published Nov 1, 2023 • 9

ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation

Paper • 2311.00272 • Published Nov 1, 2023 • 9

Code Generation

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation

Paper • 2310.18628 • Published Oct 28, 2023 • 7
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation

Paper • 2311.00272 • Published Nov 1, 2023 • 9
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

Paper • 2312.04474 • Published Dec 7, 2023 • 29
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Paper • 2402.14658 • Published Feb 22 • 82

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation

Paper • 2310.18628 • Published Oct 28, 2023 • 7
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation

Paper • 2311.00272 • Published Nov 1, 2023 • 9
Magicoder: Source Code Is All You Need

Paper • 2312.02120 • Published Dec 4, 2023 • 79
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator

Paper • 2312.04474 • Published Dec 7, 2023 • 29

Creative Robot Tool Use with Large Language Models

Paper • 2310.13065 • Published Oct 19, 2023 • 8
CodeCoT and Beyond: Learning to Program and Test like a Developer

Paper • 2308.08784 • Published Aug 17, 2023 • 5
Lemur: Harmonizing Natural Language and Code for Language Agents

Paper • 2310.06830 • Published Oct 10, 2023 • 30
CodePlan: Repository-level Coding using LLMs and Planning

Paper • 2309.12499 • Published Sep 21, 2023 • 73

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 11
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

A Zero-Shot Language Agent for Computer Control with Structured Reflection

Paper • 2310.08740 • Published Oct 12, 2023 • 14
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 35
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Paper • 2308.10848 • Published Aug 21, 2023 • 1
CLEX: Continuous Length Extrapolation for Large Language Models

Paper • 2310.16450 • Published Oct 25, 2023 • 9

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 602
Mixtral of Experts

Paper • 2401.04088 • Published Jan 8 • 157
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 47
Don't Make Your LLM an Evaluation Benchmark Cheater

Paper • 2311.01964 • Published Nov 3, 2023 • 1

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