---
title: "COLING 2025 — all accepted papers, page 9 — the most cited first"
description: "All 848 papers of COLING 2025 · page 9 of 9, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/coling/2025/papers/page/9/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/coling/2025/papers/page/9/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [COLING](https://md.research.elamur.ai/free/en/venues/coling/) / [2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) / [papers](https://md.research.elamur.ai/free/en/venues/coling/2025/papers/) / page 9

# COLING 2025: all accepted papers

848 papers · page 9 of 9 · the most cited first · [← COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)

[← prev](https://md.research.elamur.ai/free/en/venues/coling/2025/papers/page/8/) [1](https://md.research.elamur.ai/free/en/venues/coling/2025/papers/) … [8](https://md.research.elamur.ai/free/en/venues/coling/2025/papers/page/8/) **9**

801. **[Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning ↗](https://aclanthology.org/2025.coling-main.209/)**Cunda Wang, Weihua Wang, Qiuyu Liang et al.
802. **[Unlike “Likely”, “Unlike” is Unlikely: BPE-based Segmentation hurts Morphological Derivations in LLMs ↗](https://aclanthology.org/2025.coling-main.348/)**Paul Lerner, François Yvon
803. **[Unmasking the Imposters: How Censorship and Domain Adaptation Affect the Detection of Machine-Generated Tweets ↗](https://aclanthology.org/2025.coling-main.607/)**Bryan E. Tuck, Rakesh Verma
804. **[Unraveling the Mystery: Defending Against Jailbreak Attacks Via Unearthing Real Intention ↗](https://aclanthology.org/2025.coling-main.560/)**Yanhao Li, Hongshen Chen, Heng Zhang et al.
805. **[Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis ↗](https://aclanthology.org/2025.coling-main.358/)**Weitao Ma, Xiaocheng Feng, Weihong Zhong et al.
806. **[Unveiling Fake News with Adversarial Arguments Generated by Multimodal Large Language Models ↗](https://aclanthology.org/2025.coling-main.526/)**Xiaofan Zheng, Minnan Luo, Xinghao Wang
807. **[Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability](https://md.research.elamur.ai/free/en/papers/duan-2025-unveiling-language-competence-neurons-psycholinguistic/)**Xufeng Duan, Xinyu Zhou, Bei Xiao et al.*our summary*
808. **[Unveiling Performance Challenges of Large Language Models in Low-Resource Healthcare: A Demographic Fairness Perspective ↗](https://aclanthology.org/2025.coling-main.485/)**Yue Zhou, Barbara Di Eugenio, Lu Cheng
809. **[Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models ↗](https://aclanthology.org/2025.coling-main.208/)**Zijun Chen, Wenbo Hu, Guande He et al.
810. **[User Willingness-aware Sales Talk Dataset ↗](https://aclanthology.org/2025.coling-main.742/)**Asahi Hentona, Jun Baba, Shiki Sato et al.
811. **[Using Game Play to Investigate Multimodal and Conversational Grounding in Large Multimodal Models ↗](https://aclanthology.org/2025.coling-main.381/)**Sherzod Hakimov, Yerkezhan Abdullayeva, Kushal Koshti et al.
812. **[VEEF-Multi-LLM: Effective Vocabulary Expansion and Parameter Efficient Finetuning Towards Multilingual Large Language Models ↗](https://aclanthology.org/2025.coling-main.533/)**Jiu Sha, Mengxiao Zhu, Chong Feng et al.
813. **[VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation ↗](https://aclanthology.org/2025.coling-main.411/)**Hyeonseok Lim, Dongjae Shin, Seohyun Song et al.
814. **[VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation Extraction ↗](https://aclanthology.org/2025.coling-main.488/)**Khai Phan Tran, Wen Hua, Xue Li
815. **[VeritasQA: A Truthfulness Benchmark Aimed at Multilingual Transferability ↗](https://aclanthology.org/2025.coling-main.366/)**Javier Aula-Blasco, Júlia Falcão, Susana Sotelo et al.
816. **[ViSoLex: An Open-Source Repository for Vietnamese Social Media Lexical Normalization ↗](https://aclanthology.org/2025.coling-demos.18/)**Anh Thi-Hoang Nguyen, Dung Ha Nguyen, Kiet Van Nguyen · System Demonstrations
817. **[VideoQA-TA: Temporal-Aware Multi-Modal Video Question Answering ↗](https://aclanthology.org/2025.coling-main.483/)**Zhixuan Wu, Bo Cheng, Jiale Han et al.
818. **[VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models ↗](https://aclanthology.org/2025.coling-main.694/)**Haowen Hou, Peigen Zeng, Fei Ma et al.
819. **[Voice synthesis in Polish and English - analyzing prediction differences in speaker verification systems ↗](https://aclanthology.org/2025.coling-main.643/)**Joanna Gajewska, Alicja Martinek, Michał J. Ołowski et al.
820. **[VoxpopuliTTS: a large-scale multilingual TTS corpus for zero-shot speech generation ↗](https://aclanthology.org/2025.coling-main.685/)**Wenrui Liu, Jionghao Bai, Xize Cheng et al.
821. **[WER We Stand: Benchmarking Urdu ASR Models ↗](https://aclanthology.org/2025.coling-main.397/)**Samee Arif, Aamina Jamal Khan, Mustafa Abbas et al.
822. **[WIKIGENBENCH:Exploring Full-length Wikipedia Generation under Real-World Scenario ↗](https://aclanthology.org/2025.coling-main.349/)**Jiebin Zhang, Eugene J. Yu, Qinyu Chen et al.
823. **[What Makes Cryptic Crosswords Challenging for LLMs? ↗](https://aclanthology.org/2025.coling-main.342/)**Abdelrahman Sadallah, Daria Kotova, Ekaterina Kochmar
824. **[What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning ↗](https://aclanthology.org/2025.coling-main.546/)**Yifan Du, Hangyu Guo, Kun Zhou et al.
825. **[What's Wrong? Refining Meeting Summaries with LLM Feedback ↗](https://aclanthology.org/2025.coling-main.143/)**Frederic Kirstein, Terry Ruas, Bela Gipp
826. **[What's the most important value? INVP: INvestigating the Value Priorities of LLMs through Decision-making in Social Scenarios ↗](https://aclanthology.org/2025.coling-main.317/)**Xuelin Liu, Pengyuan Liu, Dong Yu
827. **[When Evolution Strategy Meets Language Models Tuning ↗](https://aclanthology.org/2025.coling-main.357/)**Bo Huang, Yuxin Jiang, Mingyang Chen et al.
828. **[Where do LLMs Encode the Knowledge to Assess the Ambiguity? ↗](https://aclanthology.org/2025.coling-industry.38/)**Hancheol Park, Geonmin Kim · Industry Track
829. **[Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore ↗](https://aclanthology.org/2025.coling-main.684/)**Junchao Wu, Runzhe Zhan, Derek F. Wong et al.
830. **[Why Does ChatGPT “Delve” So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models ↗](https://aclanthology.org/2025.coling-main.426/)**Tom S. Juzek, Zina B. Ward
831. **[Why do language models perform worse for morphologically complex languages? ↗](https://aclanthology.org/2025.coling-main.441/)**Catherine Arnett, Benjamin Bergen
832. **[Why should only High-Resource-Languages have all the fun? Pivot Based Evaluation in Low Resource Setting ↗](https://aclanthology.org/2025.coling-main.320/)**Ananya Mukherjee, Saumitra Yadav, Manish Shrivastava
833. **[Word-level Cross-lingual Structure in Large Language Models ↗](https://aclanthology.org/2025.coling-main.138/)**Zihao Feng, Hailong Cao, Wang Xu et al.
834. **[XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form Parser ↗](https://aclanthology.org/2025.coling-main.41/)**Xianfu Cheng, Hang Zhang, Jian Yang et al.
835. **[XTR meets ColBERTv2: Adding ColBERTv2 Optimizations to XTR ↗](https://aclanthology.org/2025.coling-industry.30/)**Riyaz Ahmad Bhat, Jaydeep Sen · Industry Track
836. **[You Only Query Twice: Multimodal Rumor Detection via Evidential Evaluation from Dual Perspectives ↗](https://aclanthology.org/2025.coling-main.230/)**Junyi Chen, Leyuan Liu, Tian Lan et al.
837. **[Zero-Shot Entailment Learning for Ontology-Based Biomedical Annotation Without Explicit Mentions ↗](https://aclanthology.org/2025.coling-main.542/)**Rumana Ferdous Munne, Noriki Nishida, Shanshan Liu et al.
838. **[Zero-shot Slot Filling in the Age of LLMs for Dialogue Systems ↗](https://aclanthology.org/2025.coling-industry.59/)**Mansi Rana, Kadri Hacioglu, Sindhuja Gopalan et al. · Industry Track
839. **[Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking ↗](https://aclanthology.org/2025.coling-main.650/)**Dina Pisarevskaya, Arkaitz Zubiaga
840. **[Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels ↗](https://aclanthology.org/2025.coling-main.251/)**Chaoqun Liu, Qin Chao, Wenxuan Zhang et al.
841. **[ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty ↗](https://aclanthology.org/2025.coling-main.596/)**Meizhi Zhong, Xikai Liu, Chen Zhang et al.
842. **[\textscChiFraud: A Long-term Web Text Dataset for Chinese Fraud Detection ↗](https://aclanthology.org/2025.coling-main.398/)**Min Tang, Lixin Zou, Shiuan-ni Liang et al.
843. **[“Not Aligned” is Not “Malicious”: Being Careful about Hallucinations of Large Language Models' Jailbreak ↗](https://aclanthology.org/2025.coling-main.146/)**Lingrui Mei, Shenghua Liu, Yiwei Wang et al.
844. **[“Stupid robot, I want to speak to a human!” User Frustration Detection in Task-Oriented Dialog Systems ↗](https://aclanthology.org/2025.coling-industry.23/)**Mireia Hernandez Caralt, Ivan Sekulic, Filip Carevic et al. · Industry Track
845. **[data2lang2vec: Data Driven Typological Features Completion ↗](https://aclanthology.org/2025.coling-main.435/)**Hamidreza Amirzadeh, Sadegh Jafari, Anika Harju et al.
846. **[medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced Clinical Diagnosis on EMRs ↗](https://aclanthology.org/2025.coling-main.624/)**Mingyi Jia, Junwen Duan, Yan Song et al.
847. **[sDPO: Don't Use Your Data All at Once ↗](https://aclanthology.org/2025.coling-industry.31/)**Dahyun Kim, Yungi Kim, Wonho Song et al. · Industry Track
848. **[t-HNE: A Text-guided Hierarchical Noise Eliminator for Multimodal Sentiment Analysis ↗](https://aclanthology.org/2025.coling-main.192/)**Zuocheng Li, Lishuang Li

[← prev](https://md.research.elamur.ai/free/en/venues/coling/2025/papers/page/8/) [1](https://md.research.elamur.ai/free/en/venues/coling/2025/papers/) … [8](https://md.research.elamur.ai/free/en/venues/coling/2025/papers/page/8/) **9**

- [← back to](https://md.research.elamur.ai/free/en/venues/coling/2025/) — COLING 2025
