---
title: "Who cites Tim Vieira"
description: "205 papers of the Elamur Research library cite the works of Tim Vieira, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/tim-vieira/cited-by/"
---
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# Who cites Tim Vieira

220 citations of their works from 205 papers of our library (of the 140,884 whose bibliographies we read) · 25 with a page here, the most cited first · [← Tim Vieira](https://md.research.elamur.ai/free/en/authors/tim-vieira/)

1. [**A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions**Lei Huang, Weijiang Yu, Weitao Ma, et al.*2023 · 3,221 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/)
2. [**OPT: Open Pre-trained Transformer Language Models**Susan Zhang, Stephen Roller, Naman Goyal, et al.*2022 · 1,709 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2022-opt-open-pre-trained-transformer/)
3. [**Evaluating Factuality in Generation with Dependency-level Entailment**Tanya Goyal, Greg Durrett*2020 · 201 citations*](https://md.research.elamur.ai/free/en/papers/goyal-2020-evaluating-factuality-generation-dependency-level/)
4. [**Locally Typical Sampling**Clara Meister, Tiago Pimentel, Gian Wiher, et al.*2023 · 152 citations*](https://md.research.elamur.ai/free/en/papers/meister-2023-locally-typical-sampling/)
5. [**Self-Evaluation Guided Beam Search for Reasoning**Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.*2023 · 145 citations*](https://md.research.elamur.ai/free/en/papers/xie-2023-self-evaluation-guided-beam-search/)
6. [**Quality-Aware Decoding for Neural Machine Translation**Patrick Fernandes, António Farinhas, Ricardo Rei, et al.*2022 · 143 citations*](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/)
7. [**NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics**Ximing Lu, Sean Welleck, Peter West, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/lu-2022-neurologic-esque-decoding-constrained-text/)
8. [**Neural Models of Factuality**Rachel Rudinger, Aaron Steven White, Benjamin Van Durme*2018 · 111 citations*](https://md.research.elamur.ai/free/en/papers/rudinger-2018-neural-models-factuality/)
9. [**Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework**Aaron Steven White, Pushpendre Rastogi, Kevin Duh, et al.*2017 · 110 citations*](https://md.research.elamur.ai/free/en/papers/white-2017-inference-is-everything-recasting-semantic/)
10. [**LENS: A Learnable Evaluation Metric for Text Simplification**Mounica Maddela, Yao Dou, David Heineman, et al.*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/maddela-2023-lens-learnable-evaluation-metric-text/)
11. [**Twitter Universal Dependency Parsing for African-American and Mainstream American English**Su Lin Blodgett, Johnny Wei, Brendan O'Connor*2018 · 92 citations*](https://md.research.elamur.ai/free/en/papers/blodgett-2018-twitter-universal-dependency-parsing-african/)
12. [**Temporal Reasoning in Natural Language Inference**Siddharth Vashishtha, Adam Poliak, Yash Kumar Lal, et al.*2020 · 57 citations*](https://md.research.elamur.ai/free/en/papers/vashishtha-2020-temporal-reasoning-natural-language-inference/)
13. [**A Structured Syntax-Semantics Interface for English-AMR Alignment**Ida Szubert, Adam Lopez, Nathan Schneider*2018 · 26 citations*](https://md.research.elamur.ai/free/en/papers/szubert-2018-structured-syntax-semantics-interface-english/)
14. [**He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics**Nanjiang Jiang, Marie-Catherine de Marneffe*2021 · 21 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2021-he-thinks-he-knows-better/)
15. [**pyBART: Evidence-based Syntactic Transformations for IE**Aryeh Tiktinsky, Yoav Goldberg, Reut Tsarfaty*2020 · 20 citations*](https://md.research.elamur.ai/free/en/papers/tiktinsky-2020-pybart-evidence-based-syntactic-transformations/)
16. [**Joint Universal Syntactic and Semantic Parsing**Elias Stengel-Eskin, Kenton Murray, Sheng Zhang, et al.*2021 · 15 citations*](https://md.research.elamur.ai/free/en/papers/eskin-2021-joint-universal-syntactic-semantic-parsing/)
17. [**The Impact of Token Granularity on the Predictive Power of Language Model Surprisal**Byung-Doh Oh, William Schuler*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/oh-2025-impact-token-granularity-predictive-power/)
18. [**Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics**Daniel Hershcovich, Nathan Schneider, Dotan Dvir, et al.*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hershcovich-2020-comparison-conversion-reverse-engineering-ucca/)
19. [**Survey of Abstract Meaning Representation: Then, Now, Future**Behrooz Mansouri*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/mansouri-2025-survey-abstract-meaning-representation-then/)
20. [**IPA CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Modeling**Zébulon Goriely, Paula Buttery*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/goriely-2025-ipa-childes-g2p-feature-rich/)
21. [**Cross-lingual Semantic Representation for NLP with UCCA**Omri Abend, Dotan Dvir, Daniel Hershcovich, et al.*2020 · 6 citations*](https://md.research.elamur.ai/free/en/papers/abend-2020-cross-lingual-semantic-representation-nlp/)
22. [**Evaluating Universal Dependency Parser Recovery of Predicate Argument Structure via CompChain Analysis**Sagar Indurkhya, Beracah Yankama, Robert C. Berwick*2021 · 2 citations*](https://md.research.elamur.ai/free/en/papers/indurkhya-2021-evaluating-universal-dependency-parser-recovery/)
23. [**Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal**Sathvik Nair, Byung-Doh Oh*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/nair-2026-clozing-gap-exploring-why-language/)
24. [**Word predictability estimates from language models are not robust to tokenizer vocabulary**Kien Nguyen, Suhas Arehalli*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-word-predictability-estimates-language-models/)
25. [**Can predicate-argument relationships be extracted from UD trees?**Adam Ek, Jean-Philippe Bernardy, Stergios Chatzikyriakidis*2021*](https://md.research.elamur.ai/free/en/papers/ek-2021-can-predicate-argument-relationships-be/)

180 more citing papers of our library have no page here yet.

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