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20242026
most citedScaling Reinforcement Learning for Content Moderation with Large Language Models

1 citations · 3 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Minimizing Mismatch Risk: A Prototype-Based Routing Framework for Zero-shot LLM-generated Text Detection

Ke Sun, Guangsheng Bao, Han Cui +1

Zero-shot methods detect LLM-generated text by computing statistical signatures using a surrogate model. Existing approaches typically employ a fixed surrogate for all inputs regar…

cs.CL2026

When AI Settles Down: Late-Stage Stability as a Signature of AI-Generated Text Detection

Ke Sun, Guangsheng Bao, Han Cui +1

Zero-shot detection methods for AI-generated text typically aggregate token-level statistics across entire sequences, overlooking the temporal dynamics inherent to autoregressive g…

cs.CL2025

Deep Literature Survey Automation with an Iterative Workflow

Hongbo Zhang, Han Cui, Yidong Wang +6

Automatic literature survey generation has attracted increasing attention, yet most existing systems follow a one-shot paradigm, where a large set of papers is retrieved at once an…

cs.CL2025★ 1 cited

Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values

Hongbo Zhang, Han Cui, Guangsheng Bao +3

We introduce Direct Value Optimization (DVO), an innovative reinforcement learning framework for enhancing large language models in complex reasoning tasks. Unlike traditional meth…

cs.CL2024

Exploring Hybrid Question Answering via Program-based Prompting

Qi Shi, Han Cui, Haofeng Wang +3

Question answering over heterogeneous data requires reasoning over diverse sources of data, which is challenging due to the large scale of information and organic coupling of heter…