Most Cited ICLR "orientation-aligned 3d generation" Papers
6,124 papers found • Page 6 of 31
Conference
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
zhenwei Wang, Tengfei Wang, Zexin He et al.
Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
jindong tian, Yuxuan Liang, Ronghui Xu et al.
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu
EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition
Issar Tzachor, Boaz Lerner, Matan Levy et al.
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Bhavya, Stelian Coros, Andreas Krause et al.
Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization
Zhitong Xu, Haitao Wang, Jeff Phillips et al.
Benchmarking Algorithms for Federated Domain Generalization
Ruqi Bai, Saurabh Bagchi, David Inouye
Encryption-Friendly LLM Architecture
Donghwan Rho, Taeseong Kim, Minje Park et al.
HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
YOUHE JIANG, Ran Yan, Binhang Yuan
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
Seth Aycock, David Stap, Di Wu et al.
Forking Paths in Neural Text Generation
Eric Bigelow, Ari Holtzman, Hidenori Tanaka et al.
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang, Haoxuan Li, Fei Wu et al.
AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation
Yukang Cao, Liang Pan, Kai Han et al.
Commit0: Library Generation from Scratch
Wenting Zhao, Nan Jiang, Celine Lee et al.
SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
Miruna Cretu, Charles Harris, Ilia Igashov et al.
Instruct-SkillMix: A Powerful Pipeline for LLM Instruction Tuning
Simran Kaur, Simon Park, Anirudh Goyal et al.
Gradient-Free Generation for Hard-Constrained Systems
Chaoran Cheng, Boran Han, Danielle Maddix et al.
X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention
XiaoChen Zhao, Hongyi Xu, Guoxian Song et al.
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
Wujiang Xu, Qitian Wu, Zujie Liang et al.
Generalization through variance: how noise shapes inductive biases in diffusion models
John Vastola
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs
Yihong Luo, Xiaolong Chen, Xinghua Qu et al.
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li, Weiyang Jin, Zedong Wang et al.
Scaling Optimal LR Across Token Horizons
Johan Bjorck, Alon Benhaim, Vishrav Chaudhary et al.
Cross-Embodiment Dexterous Grasping with Reinforcement Learning
Haoqi Yuan, Bohan Zhou, Yuhui Fu et al.
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory
Nikola Zubic, Federico Soldà, Aurelio Sulser et al.
Controlling Language and Diffusion Models by Transporting Activations
Pau Rodriguez, Arno Blaas, Michal Klein et al.
Fundamental Limits of Prompt Tuning Transformers: Universality, Capacity and Efficiency
Jerry Yao-Chieh Hu, Wei-Po Wang, Ammar Gilani et al.
Palu: KV-Cache Compression with Low-Rank Projection
Chi-Chih Chang, Wei-Cheng Lin, Chien-Yu Lin et al.
CrossMPT: Cross-attention Message-passing Transformer for Error Correcting Codes
Seong-Joon Park, Hee-Youl Kwak, Sang-Hyo Kim et al.
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
Junjie Li, Yang Liu, Weiqing Liu et al.
BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics
Lukas Rauch, Raphael Schwinger, Moritz Wirth et al.
Non-myopic Generation of Language Models for Reasoning and Planning
Chang Ma, Haiteng Zhao, Junlei Zhang et al.
Perm: A Parametric Representation for Multi-Style 3D Hair Modeling
Chengan He, Xin Sun, Zhixin Shu et al.
Do as We Do, Not as You Think: the Conformity of Large Language Models
Zhiyuan Weng, Guikun Chen, Wenguan Wang
Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators
Wenhan Gao, Ruichen Xu, Yuefan Deng et al.
Unprocessing Seven Years of Algorithmic Fairness
André F. Cruz, Moritz Hardt
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
Zijie Pan, Jiachen Lu, Xiatian Zhu et al.
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti, Chang Qi, Oleh Lokshyn et al.
Learning to Discretize Denoising Diffusion ODEs
Vinh Tong, Trung-Dung Hoang, Anji Liu et al.
Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models
Hulingxiao He, Geng Li, Zijun Geng et al.
Block Verification Accelerates Speculative Decoding
Ziteng Sun, Uri Mendlovic, Yaniv Leviathan et al.
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
Fu Luo, Xi Lin, Yaoxin Wu et al.
Diffusion$^2$: Dynamic 3D Content Generation via Score Composition of Video and Multi-view Diffusion Models
Zeyu Yang, Zijie Pan, Chun Gu et al.
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision
Orr Zohar, Xiaohan Wang, Yonatan Bitton et al.
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
Haotian Sun, Tao Lei, Bowen Zhang et al.
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki et al.
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units
Zeyu Liu, Gourav Datta, Anni Li et al.
Image Inpainting via Iteratively Decoupled Probabilistic Modeling
Wenbo Li, Xin Yu, Kun Zhou et al.
OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs
Jitai Hao, Yuke Zhu, Tian Wang et al.
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
Haitao Lin, Guojiang Zhao, Odin Zhang et al.
Graph Sparsification via Mixture of Graphs
Guibin Zhang, Xiangguo SUN, Yanwei Yue et al.
AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
Kim Sung-Bin, Oh Hyun-Bin, Lee Jung-Mok et al.
No Preference Left Behind: Group Distributional Preference Optimization
Binwei Yao, Zefan Cai, Yun-Shiuan Chuang et al.
MetaMetrics: Calibrating Metrics for Generation Tasks Using Human Preferences
Genta Winata, David Anugraha, Lucky Susanto et al.
PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
Botao Ren, Xue Yang, Yi Yu et al.
Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping
Yue Yang, Shuibo Zhang, Kaipeng Zhang et al.
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models
Dvir Samuel, Barak Meiri, Haggai Maron et al.
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
Rujie Wu, Xiaojian Ma, Zhenliang Zhang et al.
RainbowPO: A Unified Framework for Combining Improvements in Preference Optimization
Hanyang Zhao, Genta Winata, Anirban Das et al.
u-$\mu$P: The Unit-Scaled Maximal Update Parametrization
Charles Blake, Constantin Eichenberg, Josef Dean et al.
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks
Lehan Wang, Haonan Wang, Honglong Yang et al.
A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
Chen-Yu Liu, Chao-Han Huck Yang, Hsi-Sheng Goan et al.
Learning Clustering-based Prototypes for Compositional Zero-Shot Learning
Hongyu Qu, Jianan Wei, Xiangbo Shu et al.
ThinkBot: Embodied Instruction Following with Thought Chain Reasoning
Guanxing Lu, Ziwei Wang, Changliu Liu et al.
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
Yunhan Zhao, Xiang Zheng, Lin Luo et al.
Optimal Transport for Time Series Imputation
Hao Wang, zhengnan li, Haoxuan Li et al.
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
Song Wang, Junhong Lin, Xiaojie Guo et al.
DeLLMa: Decision Making Under Uncertainty with Large Language Models
Ollie Liu, Deqing Fu, Dani Yogatama et al.
MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
Donggon Jang, Yucheol Cho, Suin Lee et al.
DarkBench: Benchmarking Dark Patterns in Large Language Models
Esben Kran, Hieu Minh Nguyen, Akash Kundu et al.
Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
Enea Monzio Compagnoni, Tianlin Liu, Rustem Islamov et al.
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
Shaofei Shen, Chenhao Zhang, Yawen Zhao et al.
Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures
Junxuan Wang, Xuyang Ge, Wentao Shu et al.
From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
Nikita Kotelevskii, Vladimir Kondratyev, Martin Takáč et al.
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
Yan Scholten, Stephan Günnemann, Leo Schwinn
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation
Kai Huang, Hanyun Yin, Heng Huang et al.
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
Yongshuo Zong, Ondrej Bohdal, Timothy Hospedales
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data
Manuel Brenner, Elias Weber, Georgia Koppe et al.
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
Yili Wang, Yixin Liu, Xu Shen et al.
Grokking at the Edge of Numerical Stability
Lucas Prieto, Melih Barsbey, Pedro Mediano et al.
Towards Understanding Factual Knowledge of Large Language Models
Xuming Hu, Junzhe Chen, Xiaochuan Li et al.
Controllable Context Sensitivity and the Knob Behind It
Julian Minder, Kevin Du, Niklas Stoehr et al.
TULIP: Token-length Upgraded CLIP
Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki Asano et al.
GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation
Hongyin Zhang, Pengxiang Ding, Shangke Lyu et al.
What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
Gabryel Mason-Williams, Fredrik Dahlqvist
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
Runtian Zhai, Bingbin Liu, Andrej Risteski et al.
Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
Wei Guo, Molei Tao, Yongxin Chen
Swift4D: Adaptive divide-and-conquer Gaussian Splatting for compact and efficient reconstruction of dynamic scene
Jiahao Wu, Rui Peng, Zhiyan Wang et al.
Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs
Sreyan Ghosh, Chandra Kiran Evuru, Sonal Kumar et al.
Generative Flows on Synthetic Pathway for Drug Design
Seonghwan Seo, Minsu Kim, Tony Shen et al.
Accelerating neural network training: An analysis of the AlgoPerf competition
Priya Kasimbeg, Frank Schneider, Runa Eschenhagen et al.
CyberHost: A One-stage Diffusion Framework for Audio-driven Talking Body Generation
Gaojie Lin, Jianwen Jiang, Chao Liang et al.
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation
Yining Hong, Beide Liu, Maxine Wu et al.
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
Xiyao Wang, Ruijie Zheng, Yanchao Sun et al.
Improving Reasoning Performance in Large Language Models via Representation Engineering
Bertram Højer, Oliver Jarvis, Stefan Heinrich
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
Yougang Lyu, Lingyong Yan, Zihan Wang et al.
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
Wanru Zhao, Yihong Chen, Royson Lee et al.
Simulating Human-like Daily Activities with Desire-driven Autonomy
Yiding Wang, Yuxuan Chen, Fangwei Zhong et al.
EgoExo-Gen: Ego-centric Video Prediction by Watching Exo-centric Videos
Jilan Xu, Yifei Huang, Baoqi Pei et al.
How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion.
Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos C Daskalakis
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
Qiyu Kang, Kai Zhao, Qinxu Ding et al.
OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?
Zijian Chen, tingzhu chen, Wenjun Zhang et al.
Learning Hierarchical Image Segmentation For Recognition and By Recognition
Tsung-Wei Ke, Sangwoo Mo, Stella Yu
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
Dexuan Ding, Lei Wang, Liyun Zhu et al.
Concept Bottleneck Language Models For Protein Design
Aya Ismail, Tuomas Oikarinen, Amy Wang et al.
RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code
Dhruv Gautam, Spandan Garg, Jinu Jang et al.
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
Jun Chen, Haishan Ye, Mengmeng Wang et al.
Track-On: Transformer-based Online Point Tracking with Memory
Görkay Aydemir, Xiongyi Cai, Weidi Xie et al.
A CLIP-Powered Framework for Robust and Generalizable Data Selection
Suorong Yang, Peng Ye, Wanli Ouyang et al.
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten, Cecilia Casolo, Emilio Ferrucci et al.
Does SGD really happen in tiny subspaces?
Minhak Song, Kwangjun Ahn, Chulhee Yun
Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
Jiachen Jiang, Jinxin Zhou, Zhihui Zhu
MMDisCo: Multi-Modal Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation
Akio Hayakawa, Masato Ishii, Takashi Shibuya et al.
Endless Jailbreaks with Bijection Learning
Brian R.Y. Huang, Max Li, Leonard Tang
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
Tudor Cebere, Aurélien Bellet, Nicolas Papernot
Model Equality Testing: Which Model is this API Serving?
Irena Gao, Percy Liang, Carlos Guestrin
ContextGNN: Beyond Two-Tower Recommendation Systems
Yiwen Yuan, Zecheng Zhang, Xinwei He et al.
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
Ming Zhong, Chenxin An, Weizhu Chen et al.
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
eslam Abdelrahman, Mohamed Ayman Mohamed, Mahmoud Ahmed et al.
CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
Shoubin Yu, Jaehong Yoon, Mohit Bansal
Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning
Riccardo Salami, Pietro Buzzega, Matteo Mosconi et al.
What Matters in Learning from Large-Scale Datasets for Robot Manipulation
Vaibhav Saxena, Matthew Bronars, Nadun Ranawaka Arachchige et al.
IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations
Zhibing Li, Tong Wu, Jing Tan et al.
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
Sohyun An, Hayeon Lee, Jaehyeong Jo et al.
MetaOOD: Automatic Selection of OOD Detection Models
Yuehan Qin, Yichi Zhang, Yi Nian et al.
Adaptive Length Image Tokenization via Recurrent Allocation
Shivam Duggal, Phillip Isola, Antonio Torralba et al.
Grounded Object-Centric Learning
Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro et al.
Quadratic models for understanding catapult dynamics of neural networks
Libin Zhu, Chaoyue Liu, Adityanarayanan Radhakrishnan et al.
Aioli: A Unified Optimization Framework for Language Model Data Mixing
Mayee Chen, Michael Hu, Nicholas Lourie et al.
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
Xiaoxiao Sun, Xingjian Leng, Zijian Wang et al.
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition
Stephen Zhang, Vardan Papyan
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
Xinyu Yang, Tianqi Chen, Beidi Chen
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
Haiyan Zhao, Heng Zhao, Bo Shen et al.
Training Neural Networks as Recognizers of Formal Languages
Alexandra Butoi, Ghazal Khalighinejad, Anej Svete et al.
Scalable Influence and Fact Tracing for Large Language Model Pretraining
Tyler Chang, Dheeraj Rajagopal, Tolga Bolukbasi et al.
Quamba: A Post-Training Quantization Recipe for Selective State Space Models
Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin et al.
MiniPLM: Knowledge Distillation for Pre-training Language Models
Yuxian Gu, Hao Zhou, Fandong Meng et al.
Understanding and Enhancing the Transferability of Jailbreaking Attacks
Runqi Lin, Bo Han, Fengwang Li et al.
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
Xi Jiang, Jian Li, Hanqiu Deng et al.
DRoC: Elevating Large Language Models for Complex Vehicle Routing via Decomposed Retrieval of Constraints
Xia Jiang, Yaoxin Wu, Chenhao Zhang et al.
R-MAE: Regions Meet Masked Autoencoders
Duy-Kien Nguyen, Yanghao Li, Vaibhav Aggarwal et al.
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
Qiyuan Zhang, Yufei Wang, Tiezheng YU et al.
LLMs Can Plan Only If We Tell Them
Bilgehan Sel, Ruoxi Jia, Ming Jin
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects
Yoonyoung Cho, Junhyek Han, Yoontae Cho et al.
The Same but Different: Structural Similarities and Differences in Multilingual Language Modeling
Ruochen Zhang, Qinan Yu, Matianyu Zang et al.
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS
Yameng Peng, Andy Song, Haytham Fayek et al.
Mirage: Model-agnostic Graph Distillation for Graph Classification
Mridul Gupta, Sahil Manchanda, HARIPRASAD KODAMANA et al.
Logical Consistency of Large Language Models in Fact-Checking
Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat et al.
Can We Talk Models Into Seeing the World Differently?
Paul Gavrikov, Jovita Lukasik, Steffen Jung et al.
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF
Zhaolin Gao, Wenhao Zhan, Jonathan Chang et al.
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
Sungmin Cha, Sungjun Cho, Dasol Hwang et al.
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
Changdae Oh, Yixuan Li, Kyungwoo Song et al.
DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS
Rana Shahout, Eran Malach, Chunwei Liu et al.
CO2: Efficient Distributed Training with Full Communication-Computation Overlap
Weigao Sun, Qin Zhen, Weixuan Sun et al.
Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
Aliyah Hsu, Georgia Zhou, Yeshwanth Cherapanamjeri et al.
Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning
Qinghao Ye, Xianhan Zeng, Fu Li et al.
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Alex Robey, Fabian Latorre, George Pappas et al.
Multimarginal Generative Modeling with Stochastic Interpolants
Michael Albergo, Nicholas Boffi, Michael Lindsey et al.
MallowsPO: Fine-Tune Your LLM with Preference Dispersions
Haoxian Chen, Hanyang Zhao, Henry Lam et al.
Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes
Isabella Liu, Hao Su, Xiaolong Wang
UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
Julián Tachella, Mike Davies, Laurent Jacques
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
Xu Zheng, Farhad Shirani, Tianchun Wang et al.
AIR-BENCH 2024: A Safety Benchmark based on Regulation and Policies Specified Risk Categories
Yi Zeng, Yu Yang, Andy Zhou et al.
SiReRAG: Indexing Similar and Related Information for Multihop Reasoning
Nan Zhang, Prafulla Kumar Choubey, Alexander Fabbri et al.
Language Guided Skill Discovery
Seungeun Rho, Laura Smith, Tianyu Li et al.
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
Binwu Wang, Pengkun Wang, Wei Xu et al.
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
Zichen Miao, Zhengyuan Yang, Kevin Lin et al.
Black-Box Detection of Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab et al.
Locality-aware Gaussian Compression for Fast and High-quality Rendering
Seungjoo Shin, Jaesik Park, Sunghyun Cho
Transformers Struggle to Learn to Search
Abulhair Saparov, Srushti Ajay Pawar, Shreyas Pimpalgaonkar et al.
Equivariant Neural Functional Networks for Transformers
Viet-Hoang Tran, Thieu Vo, An Nguyen et al.
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs
Zijia Zhao, Haoyu Lu, Yuqi Huo et al.
Image-level Memorization Detection via Inversion-based Inference Perturbation
Yue Jiang, Haokun Lin, Yang Bai et al.
Adaptive teachers for amortized samplers
Minsu Kim, Sanghyeok Choi, Taeyoung Yun et al.
Mask-DPO: Generalizable Fine-grained Factuality Alignment of LLMs
Yuzhe Gu, Wenwei Zhang, Chengqi Lyu et al.
Systematic Outliers in Large Language Models
Yongqi An, Xu Zhao, Tao Yu et al.
Compositional Generative Inverse Design
Tailin Wu, Takashi Maruyama, Long Wei et al.
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization
Jui-Nan Yen, Si Si, Zhao Meng et al.
Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
Jiuqi Wang, Ethan Blaser, Hadi Daneshmand et al.
Re-Thinking Inverse Graphics With Large Language Models
Haiwen Feng, Michael J Black, Weiyang Liu et al.
One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning
Wenxi Lv, Qinliang Su, Wenchao Xu
Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
Marco Mistretta, Alberto Baldrati, Lorenzo Agnolucci et al.
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
Mianchu Wang, Rui Yang, Xi Chen et al.
PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify
Zhengqing Wang, Jiacheng Chen, Yasutaka Furukawa
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
Xu Zheng, Farhad Shirani, Zhuomin Chen et al.
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
Brian DuSell, David Chiang
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
Yarden As, Bhavya, Lenart Treven et al.
Bridging the Data Provenance Gap Across Text, Speech, and Video
Shayne Longpre, Nikhil Singh, Manuel Cherep et al.
RocketEval: Efficient automated LLM evaluation via grading checklist
Tianjun Wei, Wei Wen, Ruizhi Qiao et al.
Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
Sedigheh Eslami, Gerard de Melo
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
Ruoyu Wang, Yongqi Yang, Zhihao Qian et al.
Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
Sebastian Sanokowski, Wilhelm Berghammer, Haoyu Wang et al.
Can In-context Learning Really Generalize to Out-of-distribution Tasks?
Qixun Wang, Yifei Wang, Xianghua Ying et al.
Diffusion Models are Evolutionary Algorithms
Yanbo Zhang, Benedikt Hartl, Hananel Hazan et al.
Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
Sheryl Hsu, Omar Khattab, Chelsea Finn et al.
Streamlining Redundant Layers to Compress Large Language Models
Xiaodong Chen, Yuxuan Hu, Jing Zhang et al.
Sylber: Syllabic Embedding Representation of Speech from Raw Audio
Cheol Jun Cho, Nicholas Lee, Akshat Gupta et al.
Efficient Learning with Sine-Activated Low-Rank Matrices
Yiping Ji, Hemanth Saratchandran, Cameron Gordon et al.
ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks
Arth Shukla, Stone Tao, Hao Su
To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts
Yukun Huang, Sanxing Chen, Hongyi Cai et al.