4 papers
Grounded Scaling: Why Agentic AI Needs Deterministic Environments
Liang Ding, Xintong Wang
Long-chain agent execution fails exponentially in environments designed for human tolerance: with per-step determinism , -step chain success degrades as . The AGI-to-…
ARBOR: Online Process Rewards via a Reusable Rubric Buffer for Search Agents
Zheng Liu, Longxiang Zhang, Xintong Wang +8
LLM-based search agents are trained predominantly with outcome-only reward, leaving the search process itself unsupervised. This signal degenerates on outcome-homogeneous groups wh…
Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites
Xintong Wang, Yixiao Liu, Jingheng Pan +3
Detoxifying offensive language while preserving the speaker's original intent is a challenging yet critical goal for improving the quality of online interactions. Although large la…
CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models
Xintong Wang, Jingheng Pan, Liang Ding +4
Large Language Models (LLMs) achieve remarkable performance through pretraining on extensive data. This enables efficient adaptation to diverse downstream tasks. However, the lack…