ICLR Papers

Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space

Mengjing Wu, Junyu Xuan, Jie Lu

Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL

Lin Long, Xijun Gu, Xinjie Sun et al.

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Hongjin SU, Howard Yen, Mengzhou Xia et al.

Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder

Antoine Schnepf, Karim Kassab, Jean-Yves Franceschi et al.

Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach

Yuchen Liang, Peizhong Ju, Yingbin Liang et al.

Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space

Zhiliang Chen, Xinyuan Niu, Chuan Sheng Foo et al.

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Weihao Zeng, Yuzhen Huang, Lulu Zhao et al.

BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP

Hao Yuan, wenli ouyang, Changwen Zhang et al.

Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling

Minhyuk Seo, Hyunseo Koh, Jonghyun Choi

Build-A-Scene: Interactive 3D Layout Control for Diffusion-Based Image Generation

Abdelrahman Eldesokey, Peter Wonka

Building Blocks of Differentially Private Training

Mahmoud Hegazy, Aymeric Dieuleveut

Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting

Yu Liu, Baoxiong Jia, Ruijie Lu et al.

Building Math Agents with Multi-Turn Iterative Preference Learning

Wei Xiong, Chengshuai Shi, Jiaming Shen et al.

Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences

Shuchen Wu, Mirko Thalmann, Peter Dayan et al.

Bundle Neural Network for message diffusion on graphs

Jacob Bamberger, Federico Barbero, Xiaowen Dong et al.

Cached Multi-Lora Composition for Multi-Concept Image Generation

Xiandong Zou, Mingzhu Shen, Christos-Savvas Bouganis et al.

Cafe-Talk: Generating 3D Talking Face Animation with Multimodal Coarse- and Fine-grained Control

Hejia Chen, Haoxian Zhang, Shoulong Zhang et al.

CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences

Ziran Qin, Yuchen Cao, Mingbao Lin et al.

Calibrating Expressions of Certainty

Peiqi Wang, Barbara Lam, Yingcheng Liu et al.

Calibrating LLMs with Information-Theoretic Evidential Deep Learning

Yawei Li, David Rügamer, Bernd Bischl et al.

CameraCtrl: Enabling Camera Control for Video Diffusion Models

Hao He, Yinghao Xu, Yuwei Guo et al.

CAMEx: Curvature-aware Merging of Experts

Dung Viet Nguyen, Minh Nguyen, Luc Nguyen et al.

Can a Large Language Model be a Gaslighter?

Wei Li, Luyao Zhu, Yang Song et al.

Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning

Chongyi Zheng, Jens Tuyls, Joanne Peng et al.

Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective

Andrew Jesson, Nicolas Beltran-Velez, David Blei

Can In-context Learning Really Generalize to Out-of-distribution Tasks?

Qixun Wang, Yifei Wang, Xianghua Ying et al.

Can Knowledge Editing Really Correct Hallucinations?

Baixiang Huang, Canyu Chen, Xiongxiao Xu et al.

Can Large Language Models Understand Symbolic Graphics Programs?

Zeju Qiu, Weiyang Liu, Haiwen Feng et al.

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Chenglei Si, Diyi Yang, Tatsunori Hashimoto

Can LLM Simulations Truly Reflect Humanity? A Deep Dive

Qian Wang, Zhenheng Tang, Bingsheng He

Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?

Seth Aycock, David Stap, Di Wu et al.

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Egor Zverev, Sahar Abdelnabi, Soroush Tabesh et al.

Can LLMs Solve Longer Math Word Problems Better?

Xin Xu, Tong Xiao, Zitong Chao et al.

Can LLMs Understand Time Series Anomalies?

Zihao Zhou, Rose Yu

Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model

Siyu Chen, Beining Wu, Miao Lu et al.

Can One Modality Model Synergize Training of Other Modality Models?

Jae-Jun Lee, Sung Whan Yoon

Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?

Can Textual Gradient Work in Federated Learning?

Minghui Chen, Ruinan Jin, Wenlong Deng et al.

Can Transformers Do Enumerative Geometry?

Baran Hashemi, Roderic Corominas, Alessandro Giacchetto

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models

Eunseop Yoon, Hee Suk Yoon, Mark Hasegawa-Johnson et al.

Can Watermarked LLMs be Identified by Users via Crafted Prompts?

Aiwei Liu, Sheng Guan, Yiming Liu et al.

Can Watermarks be Used to Detect LLM IP Infringement For Free?

Zhengyue Zhao, Xiaogeng Liu, Somesh Jha et al.

Can We Ignore Labels in Out of Distribution Detection?

Hong Yang, Qi Yu, Travis Desell

Can We Talk Models Into Seeing the World Differently?

Paul Gavrikov, Jovita Lukasik, Steffen Jung et al.

Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems

Ruochen Jiao, Shaoyuan Xie, Justin Yue et al.

Capability Localization: Capabilities Can be Localized rather than Individual Knowledge

Xiusheng Huang, Jiaxiang Liu, Yequan Wang et al.

CapeX: Category-Agnostic Pose Estimation from Textual Point Explanation

Matan Rusanovsky, Or Hirschorn, Shai Avidan

CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation

Jie Liu, Pan Zhou, Yingjun Du et al.

Captured by Captions: On Memorization and its Mitigation in CLIP Models

Wenhao Wang, Adam Dziedzic, Grace Kim et al.

Capturing the Temporal Dependence of Training Data Influence

Jiachen (Tianhao) Wang, Dawn Song, James Y Zou et al.