Merge branch 'v4' of github.com:ErdemOzgen/erdemozgen.github.io into v4

.gitignore

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content/Article&Books/articles/LLM Based Agents.md

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+
+
+# PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
+
+https://arxiv.org/abs/2308.06782
+
+
+
+# BOLABuster
+https://www.youtube.com/watch?v=N46vMQ1YzAA
+
+# Teams of LLM Agents can Exploit Zero-Day Vulnerabilities
+
+https://arxiv.org/abs/2406.01637
+
+
+# LLM Agents can Autonomously Exploit One-day Vulnerabilities
+
+https://arxiv.org/pdf/2404.08144
+
+
+# Deep exploit
+
+https://www.slideshare.net/slideshow/deep-exploitblack-hat-europe-2018-arsenal/125242556
+https://github.com/13o-bbr-bbq/machine_learning_security/wiki
+
+# PENTESTGPT: Evaluating and Harnessing Large Language Models for Automated Penetration Testing
+
+
+---
+
+### Tool Usage&Human-Agent Interaction
+
+[](https://github.com/AGI-Edgerunners/LLM-Agents-Papers#tool-usagehuman-agent-interaction)
+
+- [2024/06/28] **Designing and Evaluating Multi-Chatbot Interface for Human-AI Communication: Preliminary Findings from a Persuasion Task** | [[paper]](https://arxiv.org/abs/2406.19648) | [code]
+    
+- [2024/06/17] **GUICourse: From General Vision Language Models to Versatile GUI Agents** | [[paper]](https://arxiv.org/abs/2406.11317) | [[code]](https://github.com/yiye3/guicourse)
+    
+- [2024/06/11] **Towards Human-AI Collaboration in Healthcare: Guided Deferral Systems with Large Language Models** | [[paper]](https://arxiv.org/abs/2406.07212) | [code]
+    
+- [2024/06/06] **Tool-Planner: Dynamic Solution Tree Planning for Large Language Model with Tool Clustering** | [[paper]](https://arxiv.org/abs/2406.03807) | [[code]](https://github.com/OceannTwT/Tool-Planner)
+    
+- [2024/06/03] **Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration** | [[paper]](https://arxiv.org/abs/2406.01014) | [[code]](https://github.com/x-plug/mobileagent)
+    
+- [2024/06/02] **Towards a copilot in BIM authoring tool using a large language model-based agent for intelligent human-machine interaction** | [[paper]](https://arxiv.org/abs/2406.16903) | [code]
+    
+- [2024/05/30] **Large Language Models Can Self-Improve At Web Agent Tasks** | [[paper]](https://arxiv.org/abs/2405.20309) | [code]
+    
+- [2024/05/23] **Human-Agent Cooperation in Games under Incomplete Information through Natural Language Communication** | [[paper]](https://arxiv.org/abs/2405.14173) | [code]
+    
+- [2024/05/17] **Latent State Estimation Helps UI Agents to Reason** | [[paper]](https://arxiv.org/abs/2405.11120) | [code]
+    
+- [2024/05/02] **CACTUS: Chemistry Agent Connecting Tool-Usage to Science** | [[paper]](https://arxiv.org/abs/2405.00972) | [[code]](https://github.com/pnnl/cactus)
+    
+- [2024/05/01] **Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning** | [[paper]](https://arxiv.org/abs/2405.00516) | [code]
+    
+- [2024/05/01] **"Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time** | [[paper]](https://arxiv.org/abs/2405.00801) | [code]
+    
+- [2024/04/23] **Aligning LLM Agents by Learning Latent Preference from User Edits** | [[paper]](https://arxiv.org/abs/2404.15269) | [code]
+    
+- [2024/04/16] **Search Beyond Queries: Training Smaller Language Models for Web Interactions via Reinforcement Learning** | [[paper]](https://arxiv.org/abs/2404.10887) | [code]
+    
+- [2024/04/09] **SurveyAgent: A Conversational System for Personalized and Efficient Research Survey** | [[paper]](https://arxiv.org/abs/2404.06364) | [code]
+    
+- [2024/04/04] **AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent** | [[paper]](https://arxiv.org/abs/2404.03648) | [[code]](https://github.com/THUDM/AutoWebGLM)
+    
+- [2024/03/12] **AesopAgent: Agent-driven Evolutionary System on Story-to-Video Production** | [[paper]](https://arxiv.org/abs/2403.07952) | [code]
+    
+- [2024/03/05] **InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents** | [[paper]](https://arxiv.org/abs/2403.02691) | [code]
+    
+- [2024/03/05] **Android in the Zoo: Chain-of-Action-Thought for GUI Agents** | [[paper]](https://arxiv.org/abs/2403.02713) | [code]
+    
+- [2024/02/27] **BASES: Large-scale Web Search User Simulation with Large Language Model based Agents** | [[paper]](https://arxiv.org/abs/2402.17505) | [code]
+    
+- [2024/02/26] **Look Before You Leap: Towards Decision-Aware and Generalizable Tool-Usage for Large Language Models** | [[paper]](https://arxiv.org/abs/2402.16696) | [code]
+    
+- [2024/02/23] **On the Multi-turn Instruction Following for Conversational Web Agents** | [[paper]](https://arxiv.org/abs/2402.15057) | [code]
+    
+- [2024/02/20] **Large Language Model-based Human-Agent Collaboration for Complex Task Solving** | [[paper]](https://arxiv.org/abs/2402.12914) | [code]
+    
+- [2024/02/20] **AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning** | [[paper]](https://arxiv.org/abs/2402.13225) | [code]
+    
+- [2024/02/18] **SciAgent: Tool-augmented Language Models for Scientific Reasoning** | [[paper]](https://arxiv.org/abs/2402.11451) | [code]
+    
+- [2024/02/18] **Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models** | [[paper]](https://arxiv.org/abs/2402.11723) | [code]
+    
+- [2024/02/17] **Human-AI Interactions in the Communication Era: Autophagy Makes Large Models Achieving Local Optima** | [[paper]](https://arxiv.org/abs/2402.11271) | [code]
+    
+- [2024/02/16] **ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages** | [[paper]](https://arxiv.org/abs/2402.10753) | [[code]](https://github.com/junjie-ye/toolsword)
+    
+- [2024/02/14] **Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications** | [[paper]](https://arxiv.org/abs/2402.09015) | [code]
+    
+- [2024/02/09] **CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models** | [[paper]](https://arxiv.org/abs/2402.06360) | [code]
+    
+- [2024/02/08] **UFO: A UI-Focused Agent for Windows OS Interaction** | [[paper]](https://arxiv.org/abs/2402.07939) | [code]
+    
+- [2024/02/06] **AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls** | [[paper]](https://arxiv.org/abs/2402.04253) | [[code]](https://github.com/dyabel/anytool)
+    
+- [2024/01/11] **EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction** | [[paper]](https://arxiv.org/abs/2401.06201) | [code]
+    
+- [2024/01/03] **GPT-4V(ision) is a Generalist Web Agent, if Grounded** | [[paper]](https://arxiv.org/abs/2401.01614) | [code]
+    
+- [2023/12/21] **Team Flow at DRC2023: Building Common Ground and Text-based Turn-taking in a Travel Agent Spoken Dialogue System** | [[paper]](https://arxiv.org/abs/2312.13816) | [code]
+    
+- [2023/12/21] **AppAgent: Multimodal Agents as Smartphone Users** | [[paper]](https://arxiv.org/abs/2312.13771) | [[code]](https://github.com/mnotgod96/AppAgent)
+    
+- [2023/12/18] **CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update** | [[paper]](https://arxiv.org/abs/2312.10908) | [[code]](https://clova-tool.github.io/)
+    
+- [2023/12/14] **CogAgent: A Visual Language Model for GUI Agents** | [[paper]](https://arxiv.org/abs/2312.08914) | [code]
+    
+- [2023/11/19] **TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems** | [[paper]](https://arxiv.org/abs/2311.11315) | [code]
+    
+- [2023/10/18] **MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models** | [[paper]](https://arxiv.org/abs/2310.11954) | [code]
+    
+- [2023/10/13] **AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems** | [[paper]](https://arxiv.org/abs/2310.09233) | [code]
+    
+- [2023/10/12] **A Zero-Shot Language Agent for Computer Control with Structured Reflection** | [[paper]](https://arxiv.org/abs/2310.08740) | [code]
+    
+- [2023/09/02] **ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models** | [[paper]](https://arxiv.org/abs/2309.00986) | [[code]](https://github.com/modelscope/modelscope-agent)
+    
+- [2023/08/07] **TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents** | [[paper]](https://arxiv.org/abs/2308.03427) | [code]
+    
+- [2023/06/05] **When Large Language Model based Agent Meets User Behavior Analysis: A Novel User Simulation Paradigm** | [[paper]](https://arxiv.org/abs/2306.02552) | [[code]](https://github.com/RUC-GSAI/YuLan-Rec)
+