· ai
[Paper] Escaping the Verifier: Learning to Reason via Demonstrations
Training Large Language Models (LLMs) to reason often relies on Reinforcement Learning (RL) with task-specific verifiers. However, many real-world reasoning-int...
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- · ai
[Paper] Aligning LLMs Toward Multi-Turn Conversational Outcomes Using Iterative PPO
Optimizing large language models (LLMs) for multi-turn conversational outcomes remains a significant challenge, especially in goal-oriented settings like AI mar...
- · ai
[Paper] BAMAS: Structuring Budget-Aware Multi-Agent Systems
Large language model (LLM)-based multi-agent systems have emerged as a powerful paradigm for enabling autonomous agents to solve complex tasks. As these systems...