COLING 2025: all accepted papers
- Improving Automatic Grammatical Error Annotation for Chinese Through Linguistically-Informed Error Typology ↗Yang Gu, Zihao Huang, Min Zeng et al.
- Improving Explainable Fact-Checking with Claim-Evidence Correlations ↗Xin Tan, Bowei Zou, Ai Ti Aw
- Improving Multilingual Sign Language Translation with Automatically Clustered Language Family Information ↗Ruiquan Zhang, Cong Hu, Pei Yu et al.
- Improving NMT Models by Retrofitting Quality Estimators into Trainable Energy Loss ↗Gahyun Yoo, Jay-Yoon Lee
- Improving Relation Extraction by Sequence-to-sequence-based Dependency Parsing Pre-training ↗Masaki Asada, Makoto Miwa
- Improving Tool Retrieval by Leveraging Large Language Models for Query Generation ↗Mohammad Kachuee, Sarthak Ahuja, Vaibhav Kumar et al. · Industry Track
- Improving the Efficiency of Visually Augmented Language Models ↗Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune
- In-Context Reinforcement Learning with Retrieval-Augmented Generation for Text-to-SQL ↗Rishit Toteja, Arindam Sarkar, Prakash Mandayam Comar
- In-context Continual Learning Assisted by an External Continual Learner ↗Saleh Momeni, Sahisnu Mazumder, Zixuan Ke et al.
- Incorporating Review-missing Interactions for Generative Explainable Recommendation ↗Xi Li, Xiaohe Bo, Chen Ma et al.
- Incremental Transformer: Efficient Encoder for Incremented Text Over MRC and Conversation Tasks ↗Weisheng Li, Yuechen Wang, Jiaxin Shi et al.
- Indigenous Languages Spoken in Argentina: A Survey of NLP and Speech Resources ↗Belu Ticona, Fernando Martín Carranza, Viviana Cotik
- Inductive Link Prediction in N-ary Knowledge Graphs ↗Jiyao Wei, Saiping Guan, Xiaolong Jin et al.
- Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar ↗Jinman Zhao, Gerald Penn
- InstructGEC: Enhancing Unsupervised Grammatical Error Correction with Instruction Tuning ↗Jiayi Deng, Chen Chen, Chunyan Hou et al.
- InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery ↗He Cao, Zijing Liu, Xingyu Lu et al.
- Integrating Group-based Preferences from Coarse to Fine for Cold-start Users Recommendation ↗Siyu Wang, Jianhui Jiang, Jiangtao Qiu et al.
- Integrating Visual Modalities with Large Language Models for Mental Health Support ↗Zhouan Zhu, Shangfei Wang, Yuxin Wang et al.
- Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation ↗Bo Pei, Yingzheng Zhu, Guangjin Wang et al.
- Intention Analysis Makes LLMs A Good Jailbreak Defender ↗Yuqi Zhang, Liang Ding, Lefei Zhang et al.
- Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations ↗Rena Gao, Carsten Roever, Jey Han Lau
- Interactive Evaluation for Medical LLMs via Task-oriented Dialogue System ↗Ruoyu Liu, Kui Xue, Xiaofan Zhang et al.
- InternLM-Law: An Open-Sourced Chinese Legal Large Language Model ↗Zhiwei Fei, Songyang Zhang, Xiaoyu Shen et al.
- Interpreting Topic Models in Byte-Pair Encoding Space ↗Jia Peng Lim, Hady Lauw
- Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception ↗Luyang Lin, Lingzhi Wang, Jinsong Guo et al.
- Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes ↗Taichi Aida, Danushka Bollegala
- Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval AugmentationRuiyang Ren, Yuhao Wang, Yingqi Qu et al.our summary
- Investigating the Impact of Incremental Processing and Voice Activity Projection on Spoken Dialogue Systems ↗Yuya Chiba, Ryuichiro Higashinaka
- Is Parameter Collision Hindering Continual Learning in LLMs? ↗Shuo Yang, Kun-Peng Ning, Yu-Yang Liu et al.
- Is Peer-Reviewing Worth the Effort? ↗Kenneth Ward Church, Raman Chandrasekar, John E. Ortega et al.
- Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator ↗Frederic Kirstein, Terry Ruas, Bela Gipp · Industry Track
- It is not a piece of cake for GPT: Explaining Textual Entailment Recognition in the presence of Figurative Language ↗Giuseppe Gallipoli, Luca Cagliero
- Iterative Structured Knowledge Distillation: Optimizing Language Models Through Layer-by-Layer Distillation ↗Malthe Have Musaeus, Rob van der Goot
- JMedBench: A Benchmark for Evaluating Japanese Biomedical Large Language Models ↗Junfeng Jiang, Jiahao Huang, Akiko Aizawa
- Jump To Hyperspace: Comparing Euclidean and Hyperbolic Loss Functions for Hierarchical Multi-Label Text Classification ↗Jens Van Nooten, Walter Daelemans
- KARRIEREWEGE: A large scale Career Path Prediction Dataset ↗Elena Senger, Yuri Campbell, Rob van der Goot et al. · Industry Track
- KG-FPQ: Evaluating Factuality Hallucination in LLMs with Knowledge Graph-based False Premise Questions ↗Yanxu Zhu, Jinlin Xiao, Yuhang Wang et al.
- KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs ↗Zelin Zhou, Simone Conia, Daniel Lee et al.
- KIA: Knowledge-Guided Implicit Vision-Language Alignment for Chest X-Ray Report Generation ↗Heng Yin, Shanlin Zhou, Pandong Wang et al.
- KVFKT: A New Horizon in Knowledge Tracing with Attention-Based Embedding and Forgetting Curve Integration ↗Quanlong Guan, Xiuliang Duan, Kaiquan Bian et al.
- Know When to Fuse: Investigating Non-English Hybrid Retrieval in the Legal Domain ↗Antoine Louis, Gijs van Dijck, Gerasimos Spanakis
- Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems ↗Rafael Teixeira de Lima, Shubham Gupta, Cesar Berrospi Ramis et al. · Industry Track
- Knowledge Graph Entity Typing with Curriculum Contrastive Learning ↗Hao Wang, Minghua Nuo, Shan Jiang
- Knowledge Graph Pooling and Unpooling for Concept Abstraction ↗Juan Li, Wen Zhang, Zhiqiang Liu et al.
- Knowledge Graph Unlearning with Schema ↗Yang Xiao, Ruimeng Ye, Bo Hui
- KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting ↗Thilini Wijesiriwardene, Ruwan Wickramarachchi, Sreeram Reddy Vennam et al.
- LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization ↗Yanyue Zhang, Pengfei Li, Yilong Lai et al.
- LAW: Legal Agentic Workflows for Custody and Fund Services Contracts ↗William Watson, Nicole Cho, Nishan Srishankar et al. · Industry Track
- LAiW: A Chinese Legal Large Language Models Benchmark ↗Yongfu Dai, Duanyu Feng, Jimin Huang et al.
- LENS: Learning Entities from Narratives of Skin Cancer ↗Daisy Monika Lal, Paul Rayson, Christopher Peter et al. · System Demonstrations
- LLM ContextBridge: A Hybrid Approach for Intent and Dialogue Understanding in IVSR ↗Changwoo Chun, Daniel Rim, Juhee Park · Industry Track
- LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models ↗Harsh Saini, Md Tahmid Rahman Laskar, Cheng Chen et al. · Industry Track
- LLM Sensitivity Challenges in Abusive Language Detection: Instruction-Tuned vs. Human Feedback ↗Yaqi Zhang, Viktor Hangya, Alexander Fraser
- LLM Sensitivity Evaluation Framework for Clinical Diagnosis ↗Chenwei Yan, Xiangling Fu, Yuxuan Xiong et al.
- LLM-Friendly Knowledge Representation for Customer Support ↗Hanchen Su, Wei Luo, Yashar Mehdad et al. · Industry Track
- LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots ↗Dongge Han, Trevor McInroe, Adam Jelley et al.
- LLM4RE: A Data-centric Feasibility Study for Relation Extraction ↗Anushka Swarup, Tianyu Pan, Ronald Wilson et al.
- LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations ↗Wenlin Zhang, Chuhan Wu, Xiangyang Li et al.
- LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation ↗Keheng Wang, Feiyu Duan, Peiguang Li et al.
- LLMs May Perform MCQA by Selecting the Least Incorrect Option ↗Haochun Wang, Sendong Zhao, Zewen Qiang et al.
- LLMs meet Bloom's Taxonomy: A Cognitive View on Large Language Model Evaluations ↗Thomas Huber, Christina Niklaus
- LLMs on interactive feature collections with implicit dynamic decision strategy ↗Juyeon Heo, Vihari Piratla, Kyunghyun Lee et al.
- LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following ↗Kaize Shi, Xueyao Sun, Dingxian Wang et al.
- LOG: A Local-to-Global Optimization Approach for Retrieval-based Explainable Multi-Hop Question Answering ↗Hao Xu, Yunxiao Zhao, Jiayang Zhang et al.
- LOLA – An Open-Source Massively Multilingual Large Language Model ↗Nikit Srivastava, Denis Kuchelev, Tatiana Moteu Ngoli et al.
- LTRS: Improving Word Sense Disambiguation via Learning to Rank Senses ↗Hansi Wang, Yue Wang, Qiliang Liang et al.
- LUCE: A Dynamic Framework and Interactive Dashboard for Opinionated Text Analysis ↗Omnia Zayed, Gaurav Negi, Sampritha Hassan Manjunath et al. · System Demonstrations
- LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics ↗Yumeng Fu, Junjie Wu, Zhongjie Wang et al.
- Language Adaptation of Large Language Models: An Empirical Study on LLaMA2 ↗Shumin Wang, Yuexiang Xie, Bolin Ding et al.
- Language Models Encode the Value of Numbers Linearly ↗Fangwei Zhu, Damai Dai, Zhifang Sui
- Language Models over Large-Scale Knowledge Base: on Capacity, Flexibility and Reasoning for New Facts ↗Qiyuan He, Yizhong Wang, Jianfei Yu et al.
- Large Language Model as a Teacher for Zero-shot Tagging at Extreme Scales ↗Jinbin Zhang, Nasib Ullah, Rohit Babbar
- Large Language Model-Based Event Relation Extraction with Rationales ↗Zhilei Hu, Zixuan Li, Xiaolong Jin et al.
- Large Language Models are good multi-lingual learners : When LLMs meet cross-lingual prompts ↗Teng Wang, Zhenqi He, Wing-Yin Yu et al.
- Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning ↗Yanfang Zhang, Yiliu Sun, Yibing Zhan et al.
- Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection ↗Ali Riahi Samani, Tianhao Wang, Kangshuo Li et al.
- Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution ↗Milad Alshomary, Narutatsu Ri, Marianna Apidianaki et al.
- Learning Transition Patterns by Large Language Models for Sequential Recommendation ↗Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng et al.
- Learning to Reason via Self-Iterative Process Feedback for Small Language Models ↗Kaiyuan Chen, Jin Wang, Xuejie Zhang
- Learning to Refuse: Towards Mitigating Privacy Risks in LLMs ↗Zhenhua Liu, Tong Zhu, Chuanyuan Tan et al.
- Learning to Rewrite Negation Queries in Product Search ↗Mengtian Guo, Mutasem Al-Darabsah, Choon Hui Teo et al. · Industry Track
- Learning to Verify Summary Facts with Fine-Grained LLM Feedback ↗Jihwan Oh, Jeonghwan Choi, Nicole Hee-Yoen Kim et al.
- Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs ↗Dingjie Song, Wenjun Wang, Shunian Chen et al.
- Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark ↗Zhikun Xu, Yinghui Li, Ruixue Ding et al.
- Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model ↗Haoyun Xu, Runzhe Zhan, Yingpeng Ma et al.
- Leveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models ↗Sarah E. Finch, Jinho D. Choi
- Leveraging LLM-Generated Schema Descriptions for Unanswerable Question Detection in Clinical Data ↗Donghee Han, Seungjae Lim, Daeyoung Roh et al.
- Leveraging Language Models for Summarizing Mental State Examinations: A Comprehensive Evaluation and Dataset Release ↗Nilesh Kumar Sahu, Manjeet Yadav, Mudita Chaturvedi et al.
- Leveraging Language-based Representations for Better Solving Symbol-related Problems with Large Language Models ↗Yile Wang, Sijie Cheng, Zixin Sun et al.
- Leveraging Multilingual Models for Robust Grammatical Error Correction Across Low-Resource Languages ↗Divesh Ramesh Kubal, Apurva Shrikant Nagvenkar · Industry Track
- Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification ↗Shijing Chen, Mohamed Reda Bouadjenek, Usman Naseem et al.
- Lexicography Saves Lives (LSL): Automatically Translating Suicide-Related Language ↗Annika Marie Schoene, John E. Ortega, Rodolfo Joel Zevallos et al.
- Lightweight Safety Guardrails Using Fine-tuned BERT Embeddings ↗Aaron Zheng, Mansi Rana, Andreas Stolcke · Industry Track
This page in Markdown → https://md.research.elamur.ai/free/en/venues/coling/2025/papers/page/5/