Tsinghua University

Trends

• Agent training moves off costly live environments
• Agents improve themselves through skills, harnesses, and memory

Items

1. Oct 2

   Tsinghua and Alibaba's PoS belief states

   An inference-time framework that builds and continually validates explicit belief states combining current-world estimates with unresolved task requirements, detecting "Belief Trapping" and recovering from it to top four long-horizon agent benchmarks across three LLM backbones.

2. Aug 1

   Tsinghua's AgentOPSD critic-free turn-level credit

   Converts sparse outcome rewards into turn-level credit by aggregating token-level teacher-student log-probability gaps into a Bayesian belief, reaching 89.1% success on ALFWorld with Qwen2.5-7B without extra critics or rollouts.