ICLR Papers
6,124 papers found • Page 34 of 123
Inference Scaling for Long-Context Retrieval Augmented Generation
Zhenrui Yue, Honglei Zhuang, Aijun Bai et al.
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving
Yangzhen Wu, Zhiqing Sun, Shanda Li et al.
Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models
Negin Raoof, Litu Rout, Giannis Daras et al.
Infinite-Resolution Integral Noise Warping for Diffusion Models
Yitong Deng, Winnie Lin, Lingxiao Li et al.
Influence Functions for Scalable Data Attribution in Diffusion Models
Bruno Mlodozeniec, Runa Eschenhagen, Juhan Bae et al.
Influence-Guided Diffusion for Dataset Distillation
Mingyang Chen, Jiawei Du, Bo Huang et al.
InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping
Yunchao Zhang, Guandao Yang, Leonidas Guibas et al.
Information Theoretic Text-to-Image Alignment
Chao Wang, Giulio Franzese, alessandro finamore et al.
Injecting Universal Jailbreak Backdoors into LLMs in Minutes
Zhuowei Chen, qiannan zhang, Shichao Pei
Injective flows for star-like manifolds
Marcello Negri, Jonathan Aellen, Volker Roth
Inner Information Analysis Algorithm for Deep Neural Network based on Community
Guipeng Lan, Shuai Xiao, Meng Xi et al.
Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps
Han Wang, Yilin Zhao, Dian Li et al.
Input Space Mode Connectivity in Deep Neural Networks
Jakub Vrabel, Ori Shem-ur, Yaron Oz et al.
In Search of Forgotten Domain Generalization
Prasanna Mayilvahanan, Roland Zimmermann, Thaddäus Wiedemer et al.
In Search of the Engram in LLMs: A Neuroscience Perspective on the Memory Functions in AI Models
Minsung Kim, Jea Kwon, Dong-Kyum Kim et al.
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation
Gaurav Sahu, Abhay Puri, Juan A. Rodriguez et al.
INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning
Yuqian Fu, Yuanheng Zhu, Jian Zhao et al.
Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct
Christopher Ackerman, Nina Panickssery
Instance-dependent Early Stopping
Suqin Yuan, Runqi Lin, Lei Feng et al.
Instant Policy: In-Context Imitation Learning via Graph Diffusion
Vitalis Vosylius, Edward Johns
InstantPortrait: One-Step Portrait Editing via Diffusion Multi-Objective Distillation
Zhixin Lai, Keqiang Sun, Fu-Yun Wang et al.
InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting
Chenxin Li, Hengyu Liu, Zhiwen Fan et al.
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
Chenyang Zhu, Kai Li, Yue Ma et al.
InstaRevive: One-Step Image Enhancement via Dynamic Score Matching
Yixuan Zhu, Haolin Wang, Ao Li et al.
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
James Enouen, Yan Liu
InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems
Chuan Liu, Ruibing Song, Chunshu Wu et al.
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy
Tong Wu, Shujian Zhang, Kaiqiang Song et al.
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
Zhepei Wei, Wei-Lin Chen, Yu Meng
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
Simran Kaur, Simon Park, Anirudh Goyal et al.
Integral Performance Approximation for Continuous-Time Reinforcement Learning Control
Brent Wallace, Jennie Si
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
Xiangxin Zhou, Yi Xiao, Haowei Lin et al.
Integrative Decoding: Improving Factuality via Implicit Self-consistency
Yi Cheng, Xiao Liang, Yeyun Gong et al.
Intelligence at the Edge of Chaos
Shiyang Zhang, Aakash Patel, Syed Rizvi et al.
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models
Cong Lu, Shengran Hu, Jeff Clune
Intent3D: 3D Object Detection in RGB-D Scans Based on Human Intention
Weitai Kang, Mengxue Qu, Jyoti Kini et al.
Interaction Asymmetry: A General Principle for Learning Composable Abstractions
Jack Brady, Julius von Kügelgen, Sebastien Lachapelle et al.
Interactive Adjustment for Human Trajectory Prediction with Individual Feedback
Jianhua Sun, Yuxuan Li, Liang Chai et al.
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface
Wenyue Hua, Mengting Wan, JAGANNATH VADREVU et al.
Interference Among First-Price Pacing Equilibria: A Bias and Variance Analysis
Luofeng Liao, Christian Kroer, Sergei Leonenkov et al.
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment
Dongping Chen, Ruoxi Chen, Shu Pu et al.
InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling
Muhammad Gohar Javed, chuan guo, Li Cheng et al.
Intermediate Layer Classifiers for OOD generalization
Arnas Uselis, Seong Joon Oh
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
Weize Chen, Ziming You, Ran Li et al.
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
Lehan Wang, Haonan Wang, Honglong Yang et al.
Interpretable Causal Representation Learning for Biological Data in the Pathway Space
Jesus de la Fuente Cedeño, Robert Lehmann, Carlos Ruiz-Arenas et al.
Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios
Li Huaqiu, HuXiaowan, Haoqian Wang
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Pei Liu, Luping Ji, Jiaxiang Gou et al.
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
Nick Jiang, Anish Kachinthaya, Suzanne Petryk et al.
Interpreting Emergent Planning in Model-Free Reinforcement Learning
Thomas Bush, Stephen Chung, Usman Anwar et al.
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition
Róisín Luo, James McDermott, Colm O'Riordan