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Yuanzhuo Wang

Yuanzhuo Wang has 6 papers in our library, in 2024–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Vision & language; often with Fei Sun, Hexiang Tan, Xueqi Cheng.

6 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 26 · 197 works · 3,481 citations OpenAlex, 2026-10-14

📄 6 works in our library · 🔗 Cited 182 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #7788

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. 7 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. Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? (2024 · 37 citations)
    Hybrid question-answering systems give an LLM two kinds of context: passages it wrote itself and passages retrieved from an external corpus such as Wikipedia.
  2. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs (2025 · 12 citations)
    LLM error detectors often treat agreement across sampled answers as a sign of correctness. This paper identifies a blind spot in that assumption: self-consistent errors , where a model gives the same wrong answer, up to semantic equivalence, in its greedy output and in all stochastic samples. The authors define these…
  3. BaseCal: Unsupervised Confidence Calibration via Base Model Signals (2026 · 1 citation)
    Post-trained LLMs (PoLLMs), such as instruction-tuned or RLHF-aligned models, tend to be overconfident: they assign high probability even to wrong answers, which limits the usefulness of confidence for detecting hallucinations.
  4. DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis (2026)
    Synthetic data can ease data shortages for LLMs in specialised domains and low-resource languages, but current tools tend to be hard for non-experts, rely on inconsistent data formats, and handle extra modalities or languages poorly.
  5. FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation (2026)
    Generative MLLMs that interleave images and text can produce content that looks authoritative but contains factual errors.
  6. JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation (2026)
    Static benchmarks for LLMs saturate quickly, cover a fixed slice of knowledge, risk contamination, and pose questions whose difficulty may not suit the model under test.

All works

13 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

  1. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetZixuan Li et al.2021 · 409 citations
  2. Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetYue Zhao et al.2018 · 146 citations
  3. Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetZixuan Li et al.2021 · 124 citations
  4. Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetWei Li et al.2018 · 79 citations
  5. NeuInfer: Knowledge Inference on N-ary Facts ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetSaiping Guan et al.2020 · 78 citations
  6. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTian Xueyun et al.2026
  7. ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetTian Xueyun et al.2026

 Co-authors here

12 of 22 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 182 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

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