---
title: "Who cites Punit Singh Koura — page 17 — 7,553 citing papers"
description: "7,553 papers of the Elamur Research library cite the works of Punit Singh Koura, found in their bibliographies · page 17 of 17 · 1601–1639…"
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# Who cites Punit Singh Koura

7,794 citations of their works from 7,553 papers of our library (of the 149,439 whose bibliographies we read) · 1,639 with a page here, the most cited first · page 17 of 17 · 1601–1639 · [← Punit Singh Koura](https://md.research.elamur.ai/free/en/authors/punit-singh-koura/)

[← prev](https://md.research.elamur.ai/free/en/authors/punit-singh-koura/cited-by/page/16/) [1](https://md.research.elamur.ai/free/en/authors/punit-singh-koura/cited-by/) … [10](https://md.research.elamur.ai/free/en/authors/punit-singh-koura/cited-by/page/10/) … [16](https://md.research.elamur.ai/free/en/authors/punit-singh-koura/cited-by/page/16/) **17**

1601. [**The Validity of Coreference-based Evaluations of Natural Language Understanding arXiv:2602.16200**Ian Porada*2026*](https://md.research.elamur.ai/free/en/papers/porada-2026-validity-coreference-based-evaluations-natural/)
1602. **[Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning](https://md.research.elamur.ai/free/en/papers/ren-2026-robust-real-world-spreadsheet-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Houxing Ren, Mingjie Zhan, Zimu Lu, et al.*2026*
1603. **[Towards Unified Factuality Evaluation for Biomedical QA and Summarization: Aligning Metrics with Clinical Use-Cases](https://md.research.elamur.ai/free/en/papers/roy-2026-unified-factuality-evaluation-biomedical-qa/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Mahule Roy, Subhas Roy*2026*
1604. **[Towards Unified Multimodal Large Language Models: A survey](https://md.research.elamur.ai/free/en/papers/ma-2026-unified-multimodal-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Ma, Yitian Zhang, Yun Fu*2026*
1605. **[Toxic dialogues: triggers and interaction patterns on Brazilian Reddit (Diálogos Tóxicos: Gatilhos e Padrões de Interação no Reddit Brasileiro)](https://md.research.elamur.ai/free/en/papers/piorino-2026-dialogos-toxicos-gatilhos-e-padroes/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Giovana Piorino, Marco Antônio de Alcântara Machado, Luiz Henrique Quevedo Lima, et al.*2026*
1606. **[Toxic Subword Pruning for Dialogue Response Generation on Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2026-toxic-subword-pruning-dialogue-response/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Hongyuan Adam Lu, Wai Lam*2026*
1607. **[TPA: Next Token Probability Attribution for Detecting Hallucinations in RAG](https://md.research.elamur.ai/free/en/papers/lu-2026-tpa-next-token-probability-attribution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengqian Lu, Jie Lu, Anjin Liu, et al.*2026*
1608. **[Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets](https://md.research.elamur.ai/free/en/papers/xiao-2026-train-vain-functionality-preserving-poisoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuan Xiao, Jiaming Wang, Yuchen Chen, et al.*2026*
1609. **[TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense](https://md.research.elamur.ai/free/en/papers/liu-2026-trajguard-streaming-hidden-state-trajectory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Liu, Xiaolei Liu, Xingyu Li, et al.*2026*
1610. **[UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-unac-adaptive-visual-prompting-abstraction/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifan Wang, Yun Fu*2026*
1611. **[Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling](https://md.research.elamur.ai/free/en/papers/wang-2026-universally-empowering-zeroth-order-optimization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fei Wang, Li Shen, Liang Ding, et al.*2026*
1612. **[wangkongqiang@EEUCA 2026: Multimodal Identification of Vaccine Critical Content on Social Media](https://md.research.elamur.ai/free/en/papers/wang-2026-wangkongqiang-eeuca-2026-multimodal-identification/) [Workshop on Event Extraction and Understanding: Challenges and Applications](https://md.research.elamur.ai/free/en/venues/eeuca/)**Kongqiang Wang, Peng Zhang, Quingli Tan*2026*
1613. **[WaveDetect: Robust Framework for Machine-Generated Text Detection via Wavelet Transform](https://md.research.elamur.ai/free/en/papers/liu-2026-wavedetect-robust-framework-machine-generated/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhichen Liu, Kaitong Qin, Linhan He, et al.*2026*
1614. **[What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs](https://md.research.elamur.ai/free/en/papers/yan-2026-what-does-infect-mean-cardio/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xinlan Yan, Di Wu, Yibin Lei, et al.*2026*
1615. **[When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2026-when-efficiency-meets-safety-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoxiao Ma, Kuofeng Gao, Zeyi Lu, et al.*2026*
1616. **[When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context Learning](https://md.research.elamur.ai/free/en/papers/philippy-2026-when-english-isn-t-best/) [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/)**Fred Philippy, Siwen Guo, Jacques Klein, et al.*2026*
1617. **[When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors](https://md.research.elamur.ai/free/en/papers/yang-2026-when-llms-read-tables-carelessly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuqing Yang, Qi Zhu, Zhen Han, et al.*2026*
1618. **[When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*
1619. **[Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?](https://md.research.elamur.ai/free/en/papers/ye-2026-where-do-llms-currently-stand/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Christophe Ye, Cassie S. Mitchell*2026*
1620. **[Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/yuan-2026-where-paths-split-localized-calibrated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenchen Yuan, Zheyu Zhang, Gjergji Kasneci*2026*
1621. **[Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM Judges](https://md.research.elamur.ai/free/en/papers/welivita-2026-who-generates-more-empathetic-responses/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Anuradha Welivita, Fawzia Zeitoun, Pearl Pu*2026*
1622. **[Why Low-Resource NLP Needs More Than Cross-Lingual Transfer: Lessons Learned from Luxembourgish](https://md.research.elamur.ai/free/en/papers/philippy-2026-why-low-resource-nlp-needs/) [Big Picture v2: Crafting a Research Narrative](https://md.research.elamur.ai/free/en/venues/bigpicture/)**Fred Philippy, Siwen Guo, Jacques Klein, et al.*2026*
1623. **[XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts](https://md.research.elamur.ai/free/en/papers/xu-2026-xmark-reliable-multi-bit-watermarking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahao Xu, Rui Hu, Olivera Kotevska, et al.*2026*
1624. **[You Only Need One Single Token to Refine Safety Alignment](https://md.research.elamur.ai/free/en/papers/yu-2026-you-only-need-one-single/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqian Yu, Shuo Chen, Zhijiang Li, et al.*2026*
1625. **[ZIP: Quantifying Which Words Matter in Zero-Shot Instructional Prompts](https://md.research.elamur.ai/free/en/papers/sadr-2026-zip-quantifying-which-words-matter/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.*2026*
1626. **[A MISMATCHED Benchmark for Scientific Natural Language Inference](https://md.research.elamur.ai/free/en/papers/shaik-2025-mismatched-benchmark-scientific-natural-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Firoz Shaik, Mobashir Sadat, Nikita Gautam, et al.*2025*
1627. **[Aligning Language Models for Icelandic Legal Text Summarization](https://md.research.elamur.ai/free/en/papers/dharson-2025-aligning-language-models-icelandic-legal/) [Nordic Conference on Computational Linguistics (NoDaLiDa)](https://md.research.elamur.ai/free/en/venues/nodalida/)**Þórir Hrafn Harðarson, Hrafn Loftsson, Stefán Ólafsson*2025*
1628. [**Are Lexicon-Based Tools Still the Gold Standard for Valence Analysis in Low-Resource Flemish? arXiv:2506.04139 · Presented at LLM Evaluation Workshop, NeurIPS 2025**Ratna Kandala, Katie Hoemann*2025*](https://md.research.elamur.ai/free/en/papers/kandala-2025-lexicon-based-tools-still-gold/)
1629. [**Assessing the Agreement Competence of Large Language Models**Alba Táboas García, Leo Wanner*2025*](https://md.research.elamur.ai/free/en/papers/garcia-2025-assessing-agreement-competence-large-language/)
1630. [**Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述) Acta Automatica Sinica (自动化学报)**Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.*2025*](https://md.research.elamur.ai/free/en/papers/wang-2025-embodied-intelligence-systems/)
1631. **[Math Natural Language Inference: this should be easy!](https://md.research.elamur.ai/free/en/papers/paiva-2025-math-natural-language-inference-this/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Valeria de Paiva, Qiyue Gao, Hai Hu, et al.*2025*
1632. **[Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)](https://md.research.elamur.ai/free/en/papers/dong-2025-code-generation-llm/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.*2025*
1633. **[Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*
1634. [**360Zhinao Technical Report arXiv:2405.13386***2024*](https://md.research.elamur.ai/free/en/papers/360zhinao-team-2024-360zhinao-technical-report/)
1635. **[Building and evaluating a Japanese-English bilingual model by vocabulary-replacing continual pretraining (語彙置換継続事前学習による日英バイリンガルモデルの構築と評価)](https://md.research.elamur.ai/free/en/papers/asaba-2024-building-evaluating-japanese-english/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**麻場直喜, 野崎雄太, 中島大, et al.*2024*
1636. **[Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)](https://md.research.elamur.ai/free/en/papers/arasawa-2024-can-generative-ai-recognise/) [Annual Meeting of the Association for Natural Language Processing](https://md.research.elamur.ai/free/en/venues/annual-meeting-of-the-association-for-natural-language-processing/)**荒沢康平, 狩野芳伸*2024*
1637. **[Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English](https://md.research.elamur.ai/free/en/papers/abdalla-2024-comparison-multilingual-bilingual-models-satirical/) [Annual Workshop of the Australasian Language Technology Association (ALTA)](https://md.research.elamur.ai/free/en/venues/alta/)**Omar W. Abdalla, Aditya Joshi, Rahat Masood, et al.*2024*
1638. **[Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)](https://md.research.elamur.ai/free/en/papers/antoine-2024-etude-des-facteurs-de-complexite/) [JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)](https://md.research.elamur.ai/free/en/venues/jeptalnrecital/)**Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.*2024*
1639. [**From Foundation Intelligence to General Intelligence: Status and Prospects of Large-Model-Based GenAI and AGI (从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望) Acta Automatica Sinica (自动化学报)**Qinghai Miao (缪青海), Xingxia Wang (王兴霞), Jing Yang (杨静), et al.*2024*](https://md.research.elamur.ai/free/en/papers/miao-2024-foundation-intelligence-general/)

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