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Collections including paper arxiv:2406.12824

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15, 2025 • 63
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 277
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Paper • 2503.12605 • Published Mar 16, 2025 • 35
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 273

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 21
Tokenization Falling Short: The Curse of Tokenization

Paper • 2406.11687 • Published Jun 17, 2024 • 16
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Paper • 2406.11817 • Published Jun 17, 2024 • 13

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs

Paper • 2404.15676 • Published Apr 24, 2024
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior

Paper • 2404.10198 • Published Apr 16, 2024 • 8
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 72
FaaF: Facts as a Function for the evaluation of RAG systems

Paper • 2403.03888 • Published Mar 6, 2024

Paper reading list

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 82
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2, 2024 • 55
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 189
LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Paper • 2312.11514 • Published Dec 12, 2023 • 260

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 21
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Paper • 2407.01370 • Published Jul 1, 2024 • 89

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Paper • 2405.19893 • Published May 30, 2024 • 33
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 21
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Paper • 2406.15319 • Published Jun 21, 2024 • 64
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems

Paper • 2406.14972 • Published Jun 21, 2024 • 7

Natural Language (LLM, NLP etc)

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 55
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17, 2024 • 34
How Far Can We Go with Practical Function-Level Program Repair?

Paper • 2404.12833 • Published Apr 19, 2024 • 7
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Paper • 2404.18796 • Published Apr 29, 2024 • 71

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 • 18
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

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15, 2025 • 63
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning

Paper • 2505.24726 • Published May 30, 2025 • 277
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Paper • 2503.12605 • Published Mar 16, 2025 • 35
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention

Paper • 2506.13585 • Published Jun 16, 2025 • 273

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 21
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Paper • 2407.01370 • Published Jul 1, 2024 • 89

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 21
Tokenization Falling Short: The Curse of Tokenization

Paper • 2406.11687 • Published Jun 17, 2024 • 16
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Paper • 2406.11817 • Published Jun 17, 2024 • 13

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

Paper • 2405.19893 • Published May 30, 2024 • 33
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 21
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Paper • 2406.15319 • Published Jun 21, 2024 • 64
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems

Paper • 2406.14972 • Published Jun 21, 2024 • 7

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs

Paper • 2404.15676 • Published Apr 24, 2024
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior

Paper • 2404.10198 • Published Apr 16, 2024 • 8
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 72
FaaF: Facts as a Function for the evaluation of RAG systems

Paper • 2403.03888 • Published Mar 6, 2024

Natural Language (LLM, NLP etc)

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 55
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17, 2024 • 34
How Far Can We Go with Practical Function-Level Program Repair?

Paper • 2404.12833 • Published Apr 19, 2024 • 7
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Paper • 2404.18796 • Published Apr 29, 2024 • 71

Paper reading list

Improving Text Embeddings with Large Language Models

Paper • 2401.00368 • Published Dec 31, 2023 • 82
LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Paper • 2401.01055 • Published Jan 2, 2024 • 55
DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 189
LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Paper • 2312.11514 • Published Dec 12, 2023 • 260

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 • 18
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

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