Aniri - — accepted AI-conference papers

2026

A Linear Expectation Constraint for Selective Prediction and Routing with False-Discovery Control

Zhiyuan Wang, Aniri -, Tianlong Chen, Yue Zhang, Heng Tao Shen, Xiaoshuang Shi +1

ICML 2026poster

Foundation models often generate unreliable answers, while heuristic uncertainty estimators fail to fully distinguish correct from incorrect outputs, causing users to accept erroneous answers without statistical guarantees. We address this through the lens of false discovery rate (FDR) control, ensu…

Cited by 0 Source ↗Scholar ↗

2026

EchoRL: Reinforcement Learning via Rollout Echoing

Jinhe Bi, Aniri -, Minglai Yang, Xingcheng Zhou, Wenke Huang, Sikuan Yan +6

ICML 2026poster

Reinforcement Learning with Verifiable Rewards is an effective route for post-training to strengthen the reasoning capability of large language models. However, as training proceeds, the learning signal can collapse thus makes the training gain become marginal and ineffective. Specifically, a growin…

Cited by 0 Source ↗Scholar ↗