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Qiang Zhang

Qiang Zhang has 5 papers in our library, in 2022–2026, most of them on Language models & pretraining, Dialogue systems, Evaluation & benchmarks; often with Aldo Lipani, Eli Shechtman, Emine Yilmaz.

5 papers in our library · 2022–2026

OpenAlex · ORCID · h-index 28 · 125 works · 2,632 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 190 times in our library · ⭐ Paper Stars ranking: #5686

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. 22 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. From Slow Bidirectional to Fast Autoregressive Video Diffusion Models (2024 · 148 citations)
    Most strong text-to-video diffusion models use bidirectional attention across all frames. As a result, no frame can be shown until the whole clip is denoised, and cost grows quadratically with length. This rules out streaming or interactive use. The authors present CausVid, which converts a pretrained bidirectional…
  2. StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts (2022 · 71 citations)
    The paper argues that near-perfect scores on the spatial tasks of bAbI (tasks 17 and 19) overstate what models can do, because bAbI uses a handful of fixed phrasings, needs only one or two reasoning steps, and most test pairs also occur in training.
  3. SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models (2024 · 36 citations)
    SciKnowEval is a benchmark for measuring how much scientific knowledge large language models hold and how well they use it.
  4. A Survey on Asking Clarification Questions Datasets in Conversational Systems (2023 · 28 citations)
    Research on asking clarification questions (ACQs) in conversational systems is hard to compare across studies.
  5. TARo: Token-level Adaptive Routing for LLM Test-time Alignment (2026)
    Test-time alignment steers a frozen LLM during decoding with a smaller reward model, avoiding expensive post-training such as RLVR.

 Co-authors here

12 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 190 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

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