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Teng Wang

Teng Wang has 2 papers in our library, in 2026, most of them on Language models & pretraining, Reasoning; often with Jun Wang, Shengjie Ma, Weiming Zhang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 16 · 62 works · 823 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 10 times in our library · ⭐ Paper Stars ranking: #9840

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models (2026 · 10 citations)
    Process Reward Models (PRMs) score each step of an LLM's mathematical reasoning. They have two weaknesses: they can be gamed through reward hacking, and they need costly step-level annotation. They also penalize a wrong step even when a later step fixes it.
  2. ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution (2026 · 1 citation)
    The paper addresses two obstacles to deploying web-browsing agents in production. First, general-purpose models lack prior knowledge of the many different site layouts and business rules. Second, agents tend to drift away from the goal as interaction sequences grow longer. The authors, from OPPO Research Institute…

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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