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Vector Institute for Artificial Intelligence

Mohamad Moosavi: Accelerating the search for climate solutions with AI A strategic blueprint for safe health AI implementation: Your 2026 roadmap Vector Institute awards 100 scholarships to Ontario’s top AI graduate students Agentic AI evaluation strategies Hassan Ashtiani: Building trustworthy AI through mathematical foundations Vector researchers advance representation learning and deep learning research at ICLR 2026 Remarkable 2026 Poster Session: 60 research projects shaping AI’s future CRISPNAM-FG: An interpretable Fine-Gray deep survival model for competing risks in health care Demo Day: How the Vector Institute helps Canadian startups turn innovative ideas into commercial reality The New Cartography of the Invisible Vector researchers advance AI frontiers with 80 papers at NeurIPS 2025 New study reveals AI’s $100B economic impact across Canada, with Ontario leading the charge When smart AI gets too smart: Key insights from Vector’s 2025 ML Security & Privacy Workshop Vector Institute names 13 new Faculty Members, expanding core research leadership across Ontario Vector researchers dive into deep learning at ICLR 2025 When AI Meets Human Matters: Evaluating Multimodal Models Through a Human-Centred Lens – Introducing HumaniBench Vector Institute 2024-25 annual report: Where AI research meets real-world impact Vector researchers tackle real-world AI challenges at ICML 2025 Ontario’s AI ecosystem: fueling real economic growth with record number of jobs and private investments Transforming Youth Mental Health Support: FAIIR’s AI-Powered Crisis Response Model Vector Institute awards up to $2.1 million in scholarships to Ontario’s top AI graduate students AI Weather Forecasting Breakthrough: How Canadian Innovation is Transforming Climate Prediction | Aardvark Weather Exploring Intelligence: Vector Faculty Member Kelsey Allen’s Path from Particle Physics to Cognitive Machine Learning Vector Institute Announces the Appointment of Glenda Crisp as President and CEO Vector Institute Unveils Comprehensive Evaluation of Leading AI Models State of Evaluation Study: Vector Institute Unlocks New Transparency in Benchmarking Global AI Models Real World Multi-Agent Reinforcement Learning – Latest Developments and Applications Principles in Action: Introducing the Vector Institute’s Playbook for Responsible AI Product Development Leveraging Large Language Models for More Efficient Systematic Reviews in Medicine and Beyond Global AI Alliance for Climate Action funding announcement
Vector Researchers present papers at ACL 2024
Kylie Williams · 2024-08-12 · via Vector Institute for Artificial Intelligence

Vector researchers will be well represented at the 62nd Annual Meeting of the Association for Computational Linguistics in Bangkok, Thailand this year. 14 papers co-authored by Vector-affiliated researchers are being shared at the Main Conference and as Findings papers. 

Vector-affiliated papers accepted at ACL 2024

Accepted Main Conference Papers:

Small But Funny: A Feedback-Driven Approach to Humor Distillation
Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati.

VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation
Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen

Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing
Freda Shi, Kevin Gimpel, Karen Livescu

LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP
Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Ajay Patel, Colin Raffel, Chris Callison-Burch

SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models
Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych

Accepted Findings Papers

DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs 
Haishuo Fang, Xiaodan Zhu, Iryna Gurevych

ConTempo: A Unified Temporally Contrastive Framework for Temporal Relation Extraction
Jingcheng Niu, Saifei Liao, Victoria Ng, Simon De Montigny, Gerald Penn

E2-LLM: Efficient and Extreme Length Extension of Large Language Models
Jiaheng Liu, ZhiqiBai, Yuanxing Zhang, Zhang Chenchen, YuangZh, Ge Zhang, JiakaiWang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng

ChatMusician: Understanding and Generating Music Intrinsically with LLM
Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Liumeng Xue, Ziyang Ma, Qin Liu, Tianyu Zheng, Yizhi LI, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Jie Fu, Emmanouil Benetos, Gus Xia, Roger Dannenberg, Wei Xue, Shiyin Kang, Yike Guo

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
Alfonso Amayuelas, Kyle Wong, Liangming Pan, Wenhu Chen, William Yang Wang

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval
Siwei Wu, Yizhi LI, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue

A Graph per Persona: Reasoning about Subjective Natural Language Descriptions
EunJeong Hwang, Vered Shwartz, Dan Gutfreund, Veronika Thost