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Collections including paper arxiv:2309.05463

Visual In-Context Prompting

Paper • 2311.13601 • Published Nov 22, 2023 • 19
Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 149
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 10
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

Paper • 2303.02927 • Published Mar 6, 2023 • 3

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Paper • 2401.02954 • Published Jan 5, 2024 • 50
Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
GPT-4 Technical Report

Paper • 2303.08774 • Published Mar 15, 2023 • 7
Gemini: A Family of Highly Capable Multimodal Models

Paper • 2312.11805 • Published Dec 19, 2023 • 47

Microsoft Research Papers

#PapersToRead from Microsoft Research in the broad space of Generative AI, Multi-agent systems, responsible AI practices, LLM Ops, and language models

Visual In-Context Prompting

Paper • 2311.13601 • Published Nov 22, 2023 • 19
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 10
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

Paper • 2303.02927 • Published Mar 6, 2023 • 3
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Paper • 2311.07361 • Published Nov 13, 2023 • 14

Llemma: An Open Language Model For Mathematics

Paper • 2310.10631 • Published Oct 16, 2023 • 56
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 55
Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model

Paper • 2309.11568 • Published Sep 20, 2023 • 11

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

Paper • 2310.11248 • Published Oct 17, 2023 • 4
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 88
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Paper • 2309.04564 • Published Sep 8, 2023 • 16
What's In My Big Data?

Paper • 2310.20707 • Published Oct 31, 2023 • 11

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning

Paper • 2401.06532 • Published Jan 12, 2024 • 12
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 88
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 52
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Paper • 2312.15685 • Published Dec 25, 2023 • 16

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 104
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 24
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 9
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 21

Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 88
Runtime error

Featured

562

Open Ko-LLM Leaderboard

📉

562

Explore and filter language model benchmark results
Running

95

OpenCompass LLM Leaderboard

🚀

95

Display a web page
Running on CPU Upgrade

13.7k

Open LLM Leaderboard

🏆

13.7k

Track, rank and evaluate open LLMs and chatbots

Dataset generation

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Code Evaluation

Collection of Papers on Code Evaluation (from code generation language models)

Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code

Paper • 2311.07989 • Published Nov 14, 2023 • 26
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 8
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Paper • 2310.06770 • Published Oct 10, 2023 • 9
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Paper • 2102.04664 • Published Feb 9, 2021 • 2

Visual In-Context Prompting

Paper • 2311.13601 • Published Nov 22, 2023 • 19
Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 149
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 10
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

Paper • 2303.02927 • Published Mar 6, 2023 • 3

INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning

Paper • 2401.06532 • Published Jan 12, 2024 • 12
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 88
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 52
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Paper • 2312.15685 • Published Dec 25, 2023 • 16

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Paper • 2401.02954 • Published Jan 5, 2024 • 50
Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
GPT-4 Technical Report

Paper • 2303.08774 • Published Mar 15, 2023 • 7
Gemini: A Family of Highly Capable Multimodal Models

Paper • 2312.11805 • Published Dec 19, 2023 • 47

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 104
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 24
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 9
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 21

Microsoft Research Papers

#PapersToRead from Microsoft Research in the broad space of Generative AI, Multi-agent systems, responsible AI practices, LLM Ops, and language models

Visual In-Context Prompting

Paper • 2311.13601 • Published Nov 22, 2023 • 19
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 10
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

Paper • 2303.02927 • Published Mar 6, 2023 • 3
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Paper • 2311.07361 • Published Nov 13, 2023 • 14

Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 88
Runtime error

Featured

562

Open Ko-LLM Leaderboard

📉

562

Explore and filter language model benchmark results
Running

95

OpenCompass LLM Leaderboard

🚀

95

Display a web page
Running on CPU Upgrade

13.7k

Open LLM Leaderboard

🏆

13.7k

Track, rank and evaluate open LLMs and chatbots

Llemma: An Open Language Model For Mathematics

Paper • 2310.10631 • Published Oct 16, 2023 • 56
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 55
Qwen Technical Report

Paper • 2309.16609 • Published Sep 28, 2023 • 37
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model

Paper • 2309.11568 • Published Sep 20, 2023 • 11

Dataset generation

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

Paper • 2310.11248 • Published Oct 17, 2023 • 4
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 88
When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Paper • 2309.04564 • Published Sep 8, 2023 • 16
What's In My Big Data?

Paper • 2310.20707 • Published Oct 31, 2023 • 11

Code Evaluation

Collection of Papers on Code Evaluation (from code generation language models)

Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code

Paper • 2311.07989 • Published Nov 14, 2023 • 26
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 8
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Paper • 2310.06770 • Published Oct 10, 2023 • 9
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Paper • 2102.04664 • Published Feb 9, 2021 • 2

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