Most Cited 2025 "lora tuning" Papers
22,274 papers found • Page 19 of 112
Conference
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
Sung-Yeon Park, Can Cui, Yunsheng Ma et al.
HandDiffuse: Generative Controllers for Two-Hand Interactions via Diffusion Models
Pei Lin
Large Language Models Miss the Multi-agent Mark
Emanuele La Malfa, Gabriele La Malfa, Samuele Marro et al.
Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment
Weixiang Zhao, Xingyu Sui, Yulin Hu et al.
ParetoFlow: Guided Flows in Multi-Objective Optimization
Ye Yuan, Can Chen, Christopher Pal et al.
LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes
Juliette Marrie, Romain Menegaux, Michael Arbel et al.
Active Evaluation Acquisition for Efficient LLM Benchmarking
Yang Li, Jie Ma, Miguel Ballesteros et al.
Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
Yongqi Ding, Lin Zuo, Mengmeng Jing et al.
Point-RFT: Improving Multimodal Reasoning with Visually Grounded Reinforcement Finetuning
Minheng Ni, Zhengyuan Yang, Linjie Li et al.
Back on Track: Bundle Adjustment for Dynamic Scene Reconstruction
Weirong Chen, Ganlin Zhang, Felix Wimbauer et al.
LBM: Latent Bridge Matching for Fast Image-to-Image Translation
Clément Chadebec, Onur Tasar, Sanjeev Sreetharan et al.
Neuroplastic Expansion in Deep Reinforcement Learning
Jiashun Liu, Johan S Obando Ceron, Aaron Courville et al.
Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search
Max Liu, Chan-Hung Yu, Wei-Hsu Lee et al.
Inverse problems with experiment-guided AlphaFold
Sai Advaith Maddipatla, Nadav Bojan, Meital Bojan et al.
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
Simon Heilig, Alessio Gravina, Alessandro Trenta et al.
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
Prasanna Mayilvahanan, Thaddäus Wiedemer, Sayak Mallick et al.
Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models
Thao Nguyen, Yang Li, Olga Golovneva et al.
Linguini: A benchmark for language-agnostic linguistic reasoning
Eduardo Sánchez, Belen Alastruey, Christophe Ropers et al.
MoMa-Kitchen: A 100K+ Benchmark for Affordance-Grounded Last-Mile Navigation in Mobile Manipulation
Pingrui Zhang, Xianqiang Gao, Yuhan Wu et al.
Fréchet Wavelet Distance: A Domain-Agnostic Metric for Image Generation
Lokesh Veeramacheneni, Moritz Wolter, Hilde Kuehne et al.
Geometry Informed Tokenization of Molecules for Language Model Generation
Xiner Li, Limei Wang, Youzhi Luo et al.
Zero-Shot Monocular Scene Flow Estimation in the Wild
Yiqing Liang, Abhishek Badki, Hang Su et al.
Bayesian scaling laws for in-context learning
Aryaman Arora, Dan Jurafsky, Christopher Potts et al.
ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models
Ozgur Kara, Krishna Kumar Singh, Feng Liu et al.
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning
Xueqing Wu, Yuheng Ding, Bingxuan Li et al.
Policy Filtration for RLHF to Mitigate Noise in Reward Models
Chuheng Zhang, Wei Shen, Li Zhao et al.
Temporally Consistent Object-Centric Learning by Contrasting Slots
Anna Manasyan, Maximilian Seitzer, Filip Radovic et al.
Causal Composition Diffusion Model for Closed-loop Traffic Generation
Haohong Lin, Xin Huang, Tung Phan-Minh et al.
MotionPro: A Precise Motion Controller for Image-to-Video Generation
Zhongwei Zhang, Fuchen Long, Zhaofan Qiu et al.
Decision Information Meets Large Language Models: The Future of Explainable Operations Research
Yansen Zhang, Qingcan Kang, Wing Yin YU et al.
PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs
Mauricio Soroco, Jialin Song, Mengzhou Xia et al.
Imagine360: Immersive 360 Video Generation from Perspective Anchor
Jing Tan, Shuai Yang, Tong Wu et al.
InstructSeg: Unifying Instructed Visual Segmentation with Multi-modal Large Language Models
Cong Wei, Yujie Zhong, yingsen zeng et al.
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
Mateusz Pach, Koryna Lewandowska, Jacek Tabor et al.
Distributional Diffusion Models with Scoring Rules
Valentin De Bortoli, Alexandre Galashov, J Swaroop Guntupalli et al.
Detect Anything 3D in the Wild
Hanxue Zhang, Haoran Jiang, Qingsong Yao et al.
UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection
Shun Wei, Jielin Jiang, Xiaolong Xu
Learning Few-Step Diffusion Models by Trajectory Distribution Matching
Yihong Luo, Tianyang Hu, Jiacheng Sun et al.
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
Maxwell Xu, Jaya Narain, Gregory Darnell et al.
Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLMs
Xinyu Fang, Zhijian Chen, Kai Lan et al.
MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusion
Zebin He, Mx Yang, Shuhui Yang et al.
Exploring More from Multiple Gait Modalities for Human Identification
Dongyang Jin, Chao Fan, Weihua Chen et al.
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Tiansheng Wen, Yifei Wang, Zequn Zeng et al.
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang
BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems
Andy Zhang, Joey Ji, Celeste Menders et al.
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
Jiale Cheng, Xiao Liu, Cunxiang Wang et al.
Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL
Jiarui Yao, Yifan Hao, Hanning Zhang et al.
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning
Xiang Li, Yunshi Lan, Chao Yang
Instant Adversarial Purification with Adversarial Consistency Distillation
Chun Tong Lei, Hon Ming Yam, Zhongliang Guo et al.
Speech Robust Bench: A Robustness Benchmark For Speech Recognition
Muhammad Shah, David Solans Noguero, Mikko Heikkilä et al.
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
Ning LU, Shengcai Liu, Jiahao Wu et al.
OmniAudio: Generating Spatial Audio from 360-Degree Video
Huadai Liu, Tianyi Luo, Kaicheng Luo et al.
Growing a Twig to Accelerate Large Vision-Language Models
Zhenwei Shao, Mingyang Wang, Zhou Yu et al.
ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
Hojae Han, seung-won hwang, Rajhans Samdani et al.
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation
Eliot Xing, Vernon Luk, Jean Oh
Boosting Segment Anything Model Towards Open-Vocabulary Learning
Xumeng Han, Longhui Wei, Xuehui Yu et al.
OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data
Yiren Song, Cheng Liu, Mike Zheng Shou
METASCENES: Towards Automated Replica Creation for Real-world 3D Scans
Huangyue Yu, Baoxiong Jia, Yixin Chen et al.
ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data
Xiaoyang Liu, Kangjie Bao, Jiashuo Zhang et al.
Semi-supervised Concept Bottleneck Models
Lijie Hu, Tianhao Huang, Huanyi Xie et al.
Epsilon-VAE: Denoising as Visual Decoding
Long Zhao, Sanghyun Woo, Ziyu Wan et al.
Training a Generally Curious Agent
Fahim Tajwar, Yiding Jiang, Abitha Thankaraj et al.
Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization
Zhanfeng Mo, Long-Kai Huang, Sinno Jialin Pan
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Minki Kang, Jongwon Jeong, Seanie Lee et al.
Large language models can learn and generalize steganographic chain-of-thought under process supervision
ROBERT MC CARTHY, Joey SKAF, Luis Ibanez-Lissen et al.
Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts
Lihu Chen, Adam Dejl, Francesca Toni
Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
Enshu Liu, Xuefei Ning, Yu Wang et al.
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
Jiale Cheng, Ruiliang Lyu, Xiaotao Gu et al.
MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization
Hengjia Li, Lifan Jiang, Xi Xiao et al.
Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology
Siyuan Yan, Ming Hu, Yiwen Jiang et al.
CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring
Benjamin Arnav, Pablo Bernabeu-Perez, Nathan Helm-Burger et al.
InstantSplamp: Fast and Generalizable Stenography Framework for Generative Gaussian Splatting
Chenxin Li, Hengyu Liu, Zhiwen Fan et al.
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution
Xingyuan Li, Zirui Wang, Yang Zou et al.
Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty
Meera Hahn, Wenjun Zeng, Nithish Kannen et al.
Imputation for prediction: beware of diminishing returns.
Marine Le Morvan, Gael Varoquaux
Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy
Yangsibo Huang, Daogao Liu, Lynn Chua et al.
Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content
Rohit Kundu, Hao Xiong, Vishal Mohanty et al.
$\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
Vlad Sobal, Mark Ibrahim, Randall Balestriero et al.
Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching
Bin Wang, Fan Wu, Linke Ouyang et al.
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang, Sarah Erfani, Yige Li et al.
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems
Shangbin Feng, Zifeng Wang, Palash Goyal et al.
Audio-Visual Instance Segmentation
Ruohao Guo, Xianghua Ying, Yaru Chen et al.
Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion
Zhiqiang Yan, Zhengxue Wang, Kun Wang et al.
GWM: Towards Scalable Gaussian World Models for Robotic Manipulation
Guanxing Lu, Baoxiong Jia, Puhao Li et al.
Ambient Diffusion Omni: Training Good Models with Bad Data
Giannis Daras, Adrian Rodriguez-Munoz, Adam Klivans et al.
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
David Wessels, David Knigge, Riccardo Valperga et al.
Object-level Geometric Structure Preserving for Natural Image Stitching
Wenxiao Cai, Wankou Yang
Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains
Shizheng Wen, Arsh Kumbhat, Levi Lingsch et al.
Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos
Dayal Singh Kalra, Tianyu He, Maissam Barkeshli
StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene Generation
Shangjin Zhai, Zhichao Ye, Jialin Liu et al.
MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices
Jianwen Jiang, Gaojie Lin, Zhengkun Rong et al.
FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks
Kairong Yu, Tianqing Zhang, Hongwei Wang et al.
Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
Qi Lv, Hao Li, Xiang Deng et al.
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
Yiming Chen, yuan zhang, Yin Liu et al.
From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective
Chen Zhao, Zhizhou Chen, Yunzhe Xu et al.
SecureGS: Boosting the Security and Fidelity of 3D Gaussian Splatting Steganography
Xuanyu Zhang, Jiarui Meng, Zhipei Xu et al.
HIIF: Hierarchical Encoding based Implicit Image Function for Continuous Super-resolution
Yuxuan Jiang, Ho Man Kwan, jasmine peng et al.
RoboTron-Mani: All-in-One Multimodal Large Model for Robotic Manipulation
Feng yan, Fanfan Liu, Yiyang Huang et al.
Learning Transformer-based World Models with Contrastive Predictive Coding
Maxime Burchi, Radu Timofte
Progressive Focused Transformer for Single Image Super-Resolution
Wei Long, Xingyu Zhou, Leheng Zhang et al.
Knowledge Is Power: Harnessing Large Language Models for Enhanced Cognitive Diagnosis
Zhiang Dong, Jingyuan Chen, Fei Wu
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)
Tianyi Zhang, Mohsen Hariri, Shaochen (Henry) Zhong et al.
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Md Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino et al.
Surprising Effectiveness of pretraining Ternary Language Model at Scale
Ayush Kaushal, Tejas Vaidhya, Arnab Mondal et al.
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
Mushui Liu, Fangtai Wu, Bozheng Li et al.
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
Ziyang Zheng, Shan Huang, Jianyuan Zhong et al.
BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge
Terry Tong, Fei Wang, Zhe Zhao et al.
Targeted Attack Improves Protection against Unauthorized Diffusion Customization
Boyang Zheng, Chumeng Liang, Xiaoyu Wu
Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model
Chaochen Gao, Xing W, Qi Fu et al.
C-CLIP: Multimodal Continual Learning for Vision-Language Model
Wenzhuo Liu, Fei Zhu, Longhui Wei et al.
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
Makoto Shing, Kou Misaki, Han Bao et al.
Instruction-Following Pruning for Large Language Models
Bairu Hou, Qibin Chen, Jianyu Wang et al.
ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration
Andrew Estornell, Jean-Francois Ton, Yuanshun Yao et al.
Cost-efficient Collaboration between On-device and Cloud Language Models
Avanika Narayan, Dan Biderman, Sabri Eyuboglu et al.
VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models
Lisa Dunlap, Krishna Mandal, trevor darrell et al.
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
Milad Nasr, Thomas Steinke, Borja Balle et al.
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code
Augusto B. Corrêa, André G. Pereira, Jendrik Seipp
Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward
Yanming Wan, Jiaxing Wu, Marwa Abdulhai et al.
Learning Molecular Representation in a Cell
Gang Liu, Srijit Seal, John Arevalo et al.
Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models
Pit Neitemeier, Björn Deiseroth, Constantin Eichenberg et al.
Simplifying DINO via Coding Rate Regularization
Ziyang Wu, Jingyuan Zhang, Druv Pai et al.
HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding
Shehreen Azad, Vibhav Vineet, Yogesh S. Rawat
MoDec-GS: Global-to-Local Motion Decomposition and Temporal Interval Adjustment for Compact Dynamic 3D Gaussian Splatting
Sangwoon Kwak, Joonsoo Kim, Jun Young Jeong et al.
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
Michael Aerni, Javier Rando, Edoardo Debenedetti et al.
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
Kongcheng Zhang, QI YAO, Shunyu Liu et al.
Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation
Yuyang Wanyan, Xi Zhang, Haiyang Xu et al.
AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models
Ziyin Zhou, Yunpeng Luo, Yuanchen Wu et al.
Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration
Zhixuan Shen, Haonan Luo, Kexun Chen et al.
Faster Algorithms for Structured Linear and Kernel Support Vector Machines
Yuzhou Gu, Zhao Song, Lichen Zhang
Detecting High-Stakes Interactions with Activation Probes
Alex McKenzie, Urja Pawar, Phil Blandfort et al.
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Zirui Zhao, Hanze Dong, Amrita Saha et al.
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Jinluan Yang, Anke Tang, Didi Zhu et al.
GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting
Junzhe Jiang, Chun Gu, Yurui Chen et al.
Learning local equivariant representations for quantum operators
YinZhangHao Zhou, Zixi Gan, Shishir Pandey et al.
A Unifying Framework for Representation Learning
Shaden Alshammari, John Hershey, Axel Feldmann et al.
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Van Thuy Hoang, O-Joun Lee
DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering
Yexing Xu, Longguang Wang, Minglin Chen et al.
Pixel-Perfect Depth with Semantics-Prompted Diffusion Transformers
Gangwei Xu, Haotong Lin, Hongcheng Luo et al.
Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing
Ruiyi Wang, Yushuo Zheng, Zicheng Zhang et al.
BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization
Xueyang Zhou, Guiyao Tie, Guowen Zhang et al.
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
Tianle Xia, Liang Ding, Guojia Wan et al.
What Makes a Maze Look Like a Maze?
Joy Hsu, Jiayuan Mao, Joshua B Tenenbaum et al.
FocalCodec: Low-Bitrate Speech Coding via Focal Modulation Networks
Luca Della Libera, Francesco Paissan, Cem Subakan et al.
High-Fidelity Simultaneous Speech-To-Speech Translation
Tom Labiausse, Laurent Mazaré, Edouard Grave et al.
Latent Thought Models with Variational Bayes Inference-Time Computation
Deqian Kong, Minglu Zhao, Dehong Xu et al.
TANGO: Training-free Embodied AI Agents for Open-world Tasks
Filippo Ziliotto, Tommaso Campari, Luciano Serafini et al.
VLForgery Face Triad: Detection, Localization and Attribution via Multimodal Large Language Models
Xinan He, Yue Zhou, Bing Fan et al.
Probabilistic Conformal Prediction with Approximate Conditional Validity
Vincent Plassier, Alexander Fishkov, Mohsen Guizani et al.
ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics
Junchao Zhu, Ruining Deng, Tianyuan Yao et al.
Post-hoc Reward Calibration: A Case Study on Length Bias
Zeyu Huang, Zihan Qiu, zili wang et al.
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
Yinghui Li, Jiayi Kuang, Haojing Huang et al.
AI-Researcher: Autonomous Scientific Innovation
Jiabin Tang, Lianghao Xia, Zhonghang Li et al.
CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation
Yuting Liu, Jinghao Zhang, Yizhou Dang et al.
Personalized Visual Instruction Tuning
Renjie Pi, Jianshu Zhang, Tianyang Han et al.
UFM: A Simple Path towards Unified Dense Correspondence with Flow
Yuchen Zhang, Nikhil Keetha, Chenwei Lyu et al.
FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning
Renqiang Luo, Huafei Huang, Ivan Lee et al.
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Chengkai Han, Jingyuan Wang, Yongyao Wang et al.
Differential learning kinetics govern the transition from memorization to generalization during in-context learning
Alex Nguyen, Gautam Reddy Nallamala
FlashMask: Efficient and Rich Mask Extension of FlashAttention
Guoxia Wang, Jinle Zeng, Xiyuan Xiao et al.
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
Jingru Fei, Kun Yi, Wei Fan et al.
CipherPrune: Efficient and Scalable Private Transformer Inference
Yancheng Zhang, Jiaqi Xue, Mengxin Zheng et al.
KLay: Accelerating Arithmetic Circuits for Neurosymbolic AI
Jaron Maene, Vincent Derkinderen, Pedro Zuidberg Dos Martires
RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement
Bochao Zou, Zizheng Guo, Xiaocheng Hu et al.
This Time is Different: An Observability Perspective on Time Series Foundation Models
Ben Cohen, Emaad Khwaja, Youssef Doubli et al.
Large Language-Geometry Model: When LLM meets Equivariance
Zongzhao Li, Jiacheng Cen, Bing Su et al.
CoRe: Benchmarking LLMs’ Code Reasoning Capabilities through Static Analysis Tasks
Danning Xie, Mingwei Zheng, Xuwei Liu et al.
ProSec: Fortifying Code LLMs with Proactive Security Alignment
Xiangzhe Xu, Zian Su, Jinyao Guo et al.
ETTA: Elucidating the Design Space of Text-to-Audio Models
Sang-gil Lee, Zhifeng Kong, ARUSHI GOEL et al.
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo, Lei Shi, Xiao-Ming Wu
Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries
Junhyuck Kim, Jongho Park, Jaewoong Cho et al.
POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation
Lanyun Zhu, Tianrun Chen, Qianxiong Xu et al.
CoLLM: A Large Language Model for Composed Image Retrieval
Chuong Huynh, Jinyu Yang, Ashish Tawari et al.
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering
Xingrui Wang, Wufei Ma, Angtian Wang et al.
Local Conditional Controlling for Text-to-Image Diffusion Models
Yibo Zhao, Liang Peng, Yang Yang et al.
Flow matching achieves almost minimax optimal convergence
Kenji Fukumizu, Taiji Suzuki, Noboru Isobe et al.
DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References
Xueyi Liu, Jianibieke Adalibieke, Qianwei Han et al.
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-text Decoding
Weikang Qiu, Zheng Huang, Haoyu Hu et al.
GeoBEV: Learning Geometric BEV Representation for Multi-view 3D Object Detection
Jinqing Zhang, Yanan Zhang, Yunlong Qi et al.
A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
Han-Jia Ye, Si-Yang Liu, Wei-Lun (Harry) Chao
Standardizing Structural Causal Models
Weronika Ormaniec, Scott Sussex, Lars Lorch et al.
ObjectMover: Generative Object Movement with Video Prior
Xin Yu, Tianyu Wang, Soo Ye Kim et al.
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
Guangchen (Eric) Lan, Huseyin A. Inan, Sahar Abdelnabi et al.
Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties
Gouki Minegishi, Hiroki Furuta, Takeshi Kojima et al.
Efficient Inference for Large Language Model-based Generative Recommendation
Xinyu Lin, Chaoqun Yang, Wenjie Wang et al.
Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals
Linda Zeng, Rithwik Gupta, Divij Motwani et al.
AG-VPReID: A Challenging Large-Scale Benchmark for Aerial-Ground Video-based Person Re-Identification
Huy Nguyen, Kien Nguyen Thanh, Akila Pemasiri et al.
Repulsive Latent Score Distillation for Solving Inverse Problems
Nicolas Zilberstein, Morteza Mardani, Santiago Segarra
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
Yuxing Lu, Wei Wu, Xukai Zhao et al.
DefMamba: Deformable Visual State Space Model
Leiye Liu, Miao Zhang, Jihao Yin et al.
TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training
Felix Krause, Timy Phan, Ming Gui et al.
Intelligence at the Edge of Chaos
Shiyang Zhang, Aakash Patel, Syed Rizvi et al.
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
Kaiwen Zheng, Yongxin Chen, Huayu Chen et al.
DVP-MVS: Synergize Depth-Edge and Visibility Prior for Multi-View Stereo
Zhenlong Yuan, Jinguo Luo, Fei Shen et al.
Solving Inequality Proofs with Large Language Models
Jiayi Sheng, Luna Lyu, Jikai Jin et al.
OmniSep: Unified Omni-Modality Sound Separation with Query-Mixup
Xize Cheng, Siqi Zheng, zehan wang et al.
UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation
Rui Tian, Mingfei Gao, Mingze Xu et al.
HashAttention: Semantic Sparsity for Faster Inference
Aditya Desai, Shuo Yang, Alejandro Cuadron et al.
ReasonGrounder: LVLM-Guided Hierarchical Feature Splatting for Open-Vocabulary 3D Visual Grounding and Reasoning
Zhenyang Liu, Yikai Wang, Sixiao Zheng et al.
Proxy Denoising for Source-Free Domain Adaptation
Song Tang, Wenxin Su, Yan Gan et al.
SymmCompletion: High-Fidelity and High-Consistency Point Cloud Completion with Symmetry Guidance
Hongyu Yan, Zijun Li, Kunming Luo et al.