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Collections including paper arxiv:2407.01920

Agentic AI systems

Agentless: Demystifying LLM-based Software Engineering Agents

Paper • 2407.01489 • Published Jul 1, 2024 • 65
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Paper • 2407.01370 • Published Jul 1, 2024 • 89
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System

Paper • 2412.20005 • Published Dec 28, 2024 • 17
Understanding Alignment in Multimodal LLMs: A Comprehensive Study

Paper • 2407.02477 • Published Jul 2, 2024 • 24

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models

Paper • 2407.01920 • Published Jul 2, 2024 • 17
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Paper • 2407.00106 • Published Jun 27, 2024 • 6

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

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3, 2024 • 50
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 55
SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22, 2024 • 27
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17, 2024 • 34

Eliminating Position Bias of Language Models: A Mechanistic Approach

Paper • 2407.01100 • Published Jul 1, 2024 • 8
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models

Paper • 2407.01920 • Published Jul 2, 2024 • 17
LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40

Alignment and Unlearning

Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15, 2024 • 90
Aligning Teacher with Student Preferences for Tailored Training Data Generation

Paper • 2406.19227 • Published Jun 27, 2024 • 25
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 28
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues

Paper • 2404.03820 • Published Apr 4, 2024 • 25

Large Language Model Unlearning via Embedding-Corrupted Prompts

Paper • 2406.07933 • Published Jun 12, 2024 • 9
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4, 2024 • 41
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning

Paper • 2406.12050 • Published Jun 17, 2024 • 19
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 152
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 60
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 48

Agentic AI systems

Agentless: Demystifying LLM-based Software Engineering Agents

Paper • 2407.01489 • Published Jul 1, 2024 • 65
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Paper • 2407.01370 • Published Jul 1, 2024 • 89
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System

Paper • 2412.20005 • Published Dec 28, 2024 • 17
Understanding Alignment in Multimodal LLMs: A Comprehensive Study

Paper • 2407.02477 • Published Jul 2, 2024 • 24

Eliminating Position Bias of Language Models: A Mechanistic Approach

Paper • 2407.01100 • Published Jul 1, 2024 • 8
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models

Paper • 2407.01920 • Published Jul 2, 2024 • 17
LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models

Paper • 2407.01920 • Published Jul 2, 2024 • 17
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Paper • 2407.00106 • Published Jun 27, 2024 • 6

Alignment and Unlearning

Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15, 2024 • 90
Aligning Teacher with Student Preferences for Tailored Training Data Generation

Paper • 2406.19227 • Published Jun 27, 2024 • 25
Self-Play Preference Optimization for Language Model Alignment

Paper • 2405.00675 • Published May 1, 2024 • 28
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues

Paper • 2404.03820 • Published Apr 4, 2024 • 25

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

Large Language Model Unlearning via Embedding-Corrupted Prompts

Paper • 2406.07933 • Published Jun 12, 2024 • 9
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4, 2024 • 41
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning

Paper • 2406.12050 • Published Jun 17, 2024 • 19
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 31

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3, 2024 • 50
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 55
SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22, 2024 • 27
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17, 2024 • 34

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 152
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 60
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 48

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