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Collections including paper arxiv:2407.01489

Agentic AI systems

Agentless: Demystifying LLM-based Software Engineering Agents

Paper • 2407.01489 • Published Jul 1, 2024 • 58
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Paper • 2407.01370 • Published Jul 1, 2024 • 86
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System

Paper • 2412.20005 • Published 24 days ago • 17
Understanding Alignment in Multimodal LLMs: A Comprehensive Study

Paper • 2407.02477 • Published Jul 2, 2024 • 22

a collection of algorithmic agents for user interfaces/interactions and program synthesis

about 1 hour ago

Learning Language Games through Interaction

Paper • 1606.02447 • Published Jun 8, 2016
Naturalizing a Programming Language via Interactive Learning

Paper • 1704.06956 • Published Apr 23, 2017
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Paper • 1802.08802 • Published Feb 24, 2018
Mapping Natural Language Commands to Web Elements

Paper • 1808.09132 • Published Aug 28, 2018

Papers about agents

Agentless: Demystifying LLM-based Software Engineering Agents

Paper • 2407.01489 • Published Jul 1, 2024 • 58
Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance

Paper • 2410.12361 • Published Oct 16, 2024

Agentless: Demystifying LLM-based Software Engineering Agents

Paper • 2407.01489 • Published Jul 1, 2024 • 58

about 11 hours ago

Video Creation by Demonstration

Paper • 2412.09551 • Published Dec 12, 2024 • 8
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation

Paper • 2412.07589 • Published Dec 10, 2024 • 45
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation

Paper • 2412.06531 • Published Dec 9, 2024 • 71
APOLLO: SGD-like Memory, AdamW-level Performance

Paper • 2412.05270 • Published Dec 6, 2024 • 38

Unlocking Continual Learning Abilities in Language Models

Paper • 2406.17245 • Published Jun 25, 2024 • 29
A Closer Look into Mixture-of-Experts in Large Language Models

Paper • 2406.18219 • Published Jun 26, 2024 • 16
Symbolic Learning Enables Self-Evolving Agents

Paper • 2406.18532 • Published Jun 26, 2024 • 12
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Paper • 2406.18629 • Published Jun 26, 2024 • 42

Agentless: Demystifying LLM-based Software Engineering Agents

Paper • 2407.01489 • Published Jul 1, 2024 • 58
GTA: A Benchmark for General Tool Agents

Paper • 2407.08713 • Published Jul 11, 2024 • 14

Agentless: Demystifying LLM-based Software Engineering Agents

Paper • 2407.01489 • Published Jul 1, 2024 • 58

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

Relevant-Papers-Midterm

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Paper • 2402.14848 • Published Feb 19, 2024 • 18
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 58
CRAG -- Comprehensive RAG Benchmark

Paper • 2406.04744 • Published Jun 7, 2024 • 45
Transformers meet Neural Algorithmic Reasoners

Paper • 2406.09308 • Published Jun 13, 2024 • 44

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