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20242026
most citedUngrammatical-syntax-based In-context Example Selection for Grammatical Error Correction

1 citations · 2 across the 17 of their papers we have counts for

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cs.LG2026

Privy to the Foil: Recasting Value Estimation with a Self-Privileged Critic for RLVR

Kun Liang, Chenming Tang, Clive Bai +5

Assigning credit to intermediate steps remains a central challenge in training Large Language Models (LLMs) on multi-step reasoning tasks with sparse terminal rewards, and actor-cr…

cs.CL2026

Learning Latent Reasoning Traces for Scalar Reward Models End-to-End

Sanwoo Lee, Clive Bai, Hsiu-Yuan Huang +3

Reward models (RMs) are central to aligning large language models with human preferences via reinforcement learning. Although traditional scalar RMs enable efficient and probabilis…

cs.LG2026

ADWIN: Adaptive Windows for Horizon-Aware On-Policy Distillation

Kun Liang, Chenming Tang, Clive Bai +3

On-policy distillation (OPD) transfers reasoning behavior by training a student on teacher feedback along student-generated trajectories, but standard full-rollout training ties ev…

cs.LG2026

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data

Hsiu-Yuan Huang, Weijie Liu, Chenming Tang +5

The proliferation of Reinforcement Learning from Verifiable Rewards (RLVR) datasets has exacerbated provenance collapse due to unclear lineage among existing datasets. To bridge th…

cs.LG2026

Democratizing Tool Learning with Environments Fully Simulated by a Free 8B Language Model

Chenming Tang, Hsiu-Yuan Huang, Weijie Liu +3

Reinforcement learning has become a prevalent paradigm for training tool calling agents, which typically requires online interactive environments. Existing approaches either rely o…

cs.CL2026

ActTraitBench: Quantifying the Knowledge-Decision Gap in Large Language Models via Human-Grounded Behavioral Validation

Yutong Yang, Chenxi Miao, Weikang Li +1

While Large Language Models (LLMs) can convincingly simulate personas in explicit self-reports, they often deviate in implicit behavioral decisions, revealing a substantial Knowled…

cs.CL2026

CFMS: Towards Explainable and Fine-Grained Chinese Multimodal Sarcasm Detection Benchmark

Junzhao Zhang, Hsiu-Yuan Huang, Chenming Tang +2

Multimodal sarcasm detection has recently garnered significant attention. However, existing benchmarks suffer from coarse-grained annotations and limited cultural coverage, which h…

cs.LG2026

ORBIT: On-policy Exploration-Exploitation for Controllable Multi-Budget Reasoning

Kun Liang, Clive Bai, Xin Xu +5

Recent Large Reasoning Models (LRMs) achieve strong performance by leveraging long-form Chain-of-Thought (CoT) reasoning, but uniformly applying overlong reasoning at inference tim…