Papers
Imagine to Hear: Auditory Knowledge Generation can be an Effective Assistant for Language Models
Suho Yoo, Hyunjong Ok, Jaeho Lee
IMOL: Incomplete-Modality-Tolerant Learning for Multi-Domain Fake News Video Detection
Zhi Zeng, Jiaying Wu, Minnan Luo et al.
iMOVE : Instance-Motion-Aware Video Understanding
Jiaze Li, Yaya Shi, Zongyang Ma et al.
IMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator
Yusuke Sakai, Takumi Goto, Taro Watanabe
Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding
Dou Hu, Lingwei Wei, Wei Zhou et al.
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
Yan Yang, Yixia Li, Hongru Wang et al.
Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference Alignment
Wen Yang, Junhong Wu, Chen Wang et al.
Implicit Hate Target Span Detection in Zero- and Few-Shot Settings with Selective Sub-Billion Parameter Models
Hossam Boudraa, Benoit Favre, Raquel Urena
Implicit Reasoning in Transformers is Reasoning through Shortcuts
Tianhe Lin, Jian Xie, Siyu Yuan et al.
ImpliHateVid: A Benchmark Dataset and Two-stage Contrastive Learning Framework for Implicit Hate Speech Detection in Videos
Mohammad Zia Ur Rehman, Anukriti Bhatnagar, Omkar Kabde et al.
Improved Unbiased Watermark for Large Language Models
Ruibo Chen, Yihan Wu, Junfeng Guo et al.
Improve Language Model and Brain Alignment via Associative Memory
Congchi Yin, Yongpeng Zhang, Xuyun Wen et al.
Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate
Ziyang Huang, Wangtao Sun, Jun Zhao et al.
Improve Safety Training of Large Language Models with Safety-Critical Singular Vectors Localization
Peijian Gu, Quan Wang, Zhendong Mao
Improve Vision Language Model Chain-of-thought Reasoning
Ruohong Zhang, Bowen Zhang, Yanghao Li et al.
Improving AI assistants embedded in short e-learning courses with limited textual content
Jacek Marciniak, Marek Kubis, Michał Gulczyński et al.
Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge
Md Tahmid Rahman Laskar, Israt Jahan, Elham Dolatabadi et al.
Improving Barrett’s Oesophagus Surveillance Scheduling with Large Language Models: A Structured Extraction Approach
Xinyue Zhang, Agathe Zecevic, Sebastian Zeki et al.
Improving Causal Interventions in Amnesic Probing with Mean Projection or LEACE
Alicja Dobrzeniecka, Antske Fokkens, Pia Sommerauer
Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions
Leonardo Ranaldi, Marco Valentino, Andre Freitas
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
Lei Huang, Xiaocheng Feng, Weitao Ma et al.
Improving Continual Pre-training Through Seamless Data Packing
Ruicheng Yin, Xuan Gao, Changze Lv et al.
Improving Dialogue Discourse Parsing through Discourse-aware Utterance Clarification
Yaxin Fan, Peifeng Li, Qiaoming Zhu
Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples
Haesung Pyun, Yoonah Park, Yohan Jo
Improving Efficiency in Large Language Models via Extendable Block Floating Point Representation
Dongyang Li, Zeyang Li, Bosheng Liu et al.