CoBRA: Learning Tool-Use Boundaries via Counterfactual Margins
cs.AI
Submitted: 2026-09-01
Updated: 2026-09-01
Terminology
Sources
- AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- WebSeer: Training Deeper Search Agents through Reinforcement Learning with Self-Reflection
- Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- AdaSearch: Balancing Parametric Knowledge and Search in Large Language Models via Reinforcement Learning
- MARAG-R1: Beyond Single Retriever via Reinforcement-Learned Multi-Tool Agentic Retrieval
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
- R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning
- ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
- Kimi k1.5: Scaling Reinforcement Learning with LLMs
- Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents
- Corrective Retrieval Augmented Generation
- Qwen3 Technical Report
- $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
- ReAct: Synergizing Reasoning and Acting in Language Models
- RAFT: Adapting Language Model to Domain Specific RAG
- CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic
- AutoTool: Dynamic Tool Selection and Integration for Agentic Reasoning
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