Proof-of-Use: Mitigating Tool-Call Hacking in Deep Research Agents
cs.AI
Submitted: 2025-10-13
Updated: 2026-10-08
Code: https://github.com/vibrantlabsai/ragas
Terminology
Sources
- LLM-Generated Black-box Explanations Can Be Adversarially Helpful
- Concrete Problems in AI Safety
- Constitutional AI: Harmlessness from AI Feedback
- How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical Questions
- ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
- A Survey on LLM-as-a-Judge
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
- Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL
- Search-o1: Agentic Search-Enhanced Large Reasoning Models
- The Strong, Weak and Benign Goodhart's law. An independence-free and paradigm-agnostic formalisation
- When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
- Categorizing Variants of Goodhart's Law
- Measuring and Narrowing the Compositionality Gap in Language Models
- Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Defining and Characterizing Reward Hacking
- R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
- MuSiQue: Multihop Questions via Single-hop Question Composition
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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