Co-occurring keywords · papers mentioning both
Papers
ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast & Slow Reasoning for Robust Agent Defense
EMNLP 2025
ALYMPICS: LLM Agents Meet Game Theory
COLING 2025
AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
EMNLP 2025
AutoClean: LLMs Can Prepare Their Training Corpus
NAACL 2025
Automated Hypothesis Validation with Agentic Sequential Falsifications
ICML 2025
AutoPDL: Automatic Prompt Optimization for LLM Agents
AutoML 2025
AutoPenBench: A Vulnerability Testing Benchmark for Generative Agents
EMNLP 2025
AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment
EMNLP 2025
Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories
ACL 2025
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems
ACL 2025
Breaking ReAct Agents: Foot-in-the-Door Attack Will Get You In
NAACL 2025
Can LLMs Help You at Work? A Sandbox for Evaluating LLM Agents in Enterprise Environments
EMNLP 2025
Caution for the Environment: Multimodal LLM Agents are Susceptible to Environmental Distractions
ACL 2025
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space
EMNLP 2025
CompileAgent: Automated Real-World Repo-Level Compilation with Tool-Integrated LLM-based Agent System
ACL 2025
CourtReasoner: Can LLM Agents Reason Like Judges?
EMNLP 2025
CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments
NAACL 2025
CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories
NAACL 2025
CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities
ICML 2025
CVE-Bench: Benchmarking LLM-based Software Engineering Agent’s Ability to Repair Real-World CVE Vulnerabilities
NAACL 2025
Data Interpreter: An LLM Agent for Data Science
ACL 2025
DatawiseAgent: A Notebook-Centric LLM Agent Framework for Adaptive and Robust Data Science Automation
EMNLP 2025
DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent
EMNLP 2025
Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation
NAACL 2025
Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents
EMNLP 2025