Poster Papers
24,624 papers found • Page 144 of 493
Conference
Is In-Context Learning Sufficient for Instruction Following in LLMs?
Hao Zhao, Maksym Andriushchenko, francesco croce et al.
Is Large-scale Pretraining the Secret to Good Domain Generalization?
Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis et al.
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
Zixin Wang, Dong Gong, Sen Wang et al.
Is Limited Participant Diversity Impeding EEG-based Machine Learning?
Philipp Bomatter, Henry Gouk
Is Meta-Learning Out? Rethinking Unsupervised Few-Shot Classification with Limited Entropy
Yunchuan Guan, Yu Liu, Ke Zhou et al.
Is Noise Conditioning Necessary for Denoising Generative Models?
Qiao Sun, Zhicheng Jiang, Hanhong Zhao et al.
Isolated Causal Effects of Natural Language
Victoria Lin, Louis-Philippe Morency, Eli Ben-Michael
Isometric Regularization for Manifolds of Functional Data
Hyeongjun Heo, Seonghun Oh, JaeYong Lee et al.
Isotropic Noise in Stochastic and Quantum Convex Optimization
Annie Marsden, Liam O'Carroll, Aaron Sidford et al.
Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs
Zhangyin Feng, Qianglong Chen, Ning Lu et al.
Is `Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning
JiHyeok Jung, EunTae Kim, SeoYeon Kim et al.
Is This Tracker On? A Benchmark Protocol for Dynamic Tracking
Ilona Demler, Saumya Chauhan, Georgia Gkioxari
Is uniform expressivity too restrictive? Towards efficient expressivity of GNNs
Sammy Khalife, Josué Tonelli-Cueto
Is Visual in-Context Learning for Compositional Medical Tasks within Reach?
Simon Reiß, Zdravko Marinov, Alexander Jaus et al.
Is Your Diffusion Model Actually Denoising?
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis et al.
Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
Yinong O Wang, Nivedha Sivakumar, Falaah Arif Khan et al.
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist
Zihao Zhou, Shudong Liu, Maizhen Ning et al.
Is Your Multimodal Language Model Oversensitive to Safe Queries?
Xirui Li, Hengguang Zhou, Ruochen Wang et al.
Is Your Video Language Model a Reliable Judge?
Ming Liu, Wensheng Zhang
Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation
Yiping Wang, Xuehai He, Kuan Wang et al.
IT$^3$: Idempotent Test-Time Training
Nikita Durasov, Assaf Shocher, Doruk Oner et al.
ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On
Ji Woo Hong, Tri Ton, Trung X. Pham et al.
ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
Sagnik Bhattacharya, Abhiram Gorle, Ahsan Bilal et al.
Iterative Foundation Model Fine-Tuning on Multiple Rewards
Pouya M. Ghari, simone sciabola, Ye Wang
Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision
Yaowen Ye, Cassidy Laidlaw, Jacob Steinhardt
Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning
Yuheng Zhang, Dian Yu, Baolin Peng et al.
Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing
Jiayi Fu, Siyu Liu, Zikun Liu et al.
Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers
Zhengliang Shi, Lingyong Yan, Dawei Yin et al.
Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck
Shuai Zhang, Junfeng Fang, Xuqiang Li et al.
Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference Tuning
Pengxiang Li, Zhi Gao, Bofei Zhang et al.
Iterative Vectors: In-Context Gradient Steering without Backpropagation
Yiting Liu, Zhi-Hong Deng
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Xinchen Zhang, Ling Yang, Guohao Li et al.
IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
Shubham Dipak Ugare, Rohan Gumaste, Tarun Suresh et al.
IterIS: Iterative Inference-Solving Alignment for LoRA Merging
Hongxu chen, Zhen Wang, Runshi Li et al.
It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia et al.
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian et al.
It’s a (Blind) Match! Towards Vision-Language Correspondence without Parallel Data
Dominik Schnaus, Nikita Araslanov, Daniel Cremers
It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
Jikai Jin, Lester Mackey, Vasilis Syrgkanis
It's My Data Too: Private ML for Datasets with Multi-User Training Examples
Arun Ganesh, Ryan McKenna, Hugh B McMahan et al.
JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics
Yuanchuan Guo, Jun Liu, Huimin Cheng et al.
JAFAR: Jack up Any Feature at Any Resolution
Paul Couairon, Loïck Chambon, Louis Serrano et al.
JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
Jiaxin Song, Yixu Wang, Jie Li et al.
Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
Guobin Shen, Dongcheng Zhao, Yiting Dong et al.
Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language Models
Hao Cheng, Erjia Xiao, Jing Shao et al.
JailbreakDiffBench: A Comprehensive Benchmark for Jailbreaking Diffusion Models
Xiaolong Jin, Zixuan Weng, Hanxi Guo et al.
Jailbreaking as a Reward Misspecification Problem
Zhihui Xie, Jiahui Gao, Lei Li et al.
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
Maksym Andriushchenko, francesco croce, Nicolas Flammarion
Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
Shiji Zhao, Ranjie Duan, Fengxiang Wang et al.
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
Yongli Xiang, Ziming Hong, Lina Yao et al.
Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
Octave Mariotti, Zhipeng Du, Yash Bhalgat et al.