Spurious Tool Use: When RL Agents Learn the Wrong Reason to Act
Understanding and mitigating shortcut tool selection in RL-trained agents through rewards for tool necessity.
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Clarify or Answer: Reinforcement Learning for Agentic VQA with Context Under-specification
Reinforcement learning for agentic VQA that balances clarification and answering under underspecified context.
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Agentic Abstention: Do Agents Know When to Stop Instead of Act?
A benchmark and analysis of when tool-using LLM agents should stop and abstain rather than continue acting.
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SusBench: An Online Benchmark for Evaluating Dark Pattern Susceptibility of Computer-Use Agents
Benchmarking dark pattern susceptibility of computer-use agents in realistic UI environments.
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