NAQD Env: A benchmark for selective withdrawal in language agents
cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/abouzamm/naqd
Terminology
Sources
- AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
- STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?
- AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
- StepShield: When, Not Whether to Intervene on Rogue Agents
- The Llama 3 Herd of Models
- EDGE: Error Dependency Graph-Guided Multi-Error Attribution in Multi-Agent LLM Systems
- LoRA: Low-Rank Adaptation of Large Language Models
- LLM Evaluators Recognize and Favor Their Own Generations
- Qwen2.5 Technical Report
- Identifying the Risks of LM Agents with an LM-Emulated Sandbox
- Incomplete Tasks Induce Shutdown Resistance in Some Frontier LLMs
- From Agent Traces to Trust: A Survey of Evidence Tracing and Execution Provenance in LLM Agents
- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
- LLM Agent Capabilities Should Follow Task Intent and Context Source
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems