Most Cited 2025 "triangle meshes" Papers
22,274 papers found • Page 28 of 112
Conference
Benchmarking Quantum Reinforcement Learning
Nico Meyer, Christian Ufrecht, George Yammine et al.
Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?
Yujin Han, Andi Han, Wei Huang et al.
Large Language Models as End-to-end Combinatorial Optimization Solvers
Xia Jiang, Yaoxin Wu, Minshuo Li et al.
Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling
Louis Bradshaw, Simon Colton
Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks
Lukas Braun, Erin Grant, Andrew Saxe
TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition
Jianhua Zhu, Wenqi Zhao, Yu Li et al.
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
Tai Hoang, Huy Le, Philipp Becker et al.
EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs
Zhen Fan, Peng Dai, Zhuo Su et al.
Out of Length Text Recognition with Sub-String Matching
Yongkun Du, Zhineng Chen, Caiyan Jia et al.
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
Zihan Yu, Jingtao Ding, Yong Li et al.
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
Yucheng Shi, Quanzheng Li, Jin Sun et al.
Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
Chris Kolb, Tobias Weber, Bernd Bischl et al.
Zero-Shot Scene Change Detection
Kyusik Cho, Dong Yeop Kim, Euntai Kim
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
Hui Dai, Ryan Teehan, Mengye Ren
Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification
Wenbo Dai, Lijing Lu, Zhihang Li
Rectifying Conformity Scores for Better Conditional Coverage
Vincent Plassier, Alexander Fishkov, Victor Dheur et al.
Risk and cross validation in ridge regression with correlated samples
Alexander Atanasov, Jacob A Zavatone-Veth, Cengiz Pehlevan
Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection
Zining Chen, Xingshuang Luo, Weiqiu Wang et al.
OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
Haoyang Liu, Jie Wang, Yuyang Cai et al.
SVGBuilder: Component-Based Colored SVG Generation with Text-Guided Autoregressive Transformers
Zehao Chen, Rong Pan
Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective
Yujia Chen, Rui Sun, Wangkai Li et al.
The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited
Floriano Tori, Vincent Holst, Vincent Ginis
Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization
Kehua Chen, Zhenlong Yuan, Tianlu Mao et al.
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
Qizhou Wang, Guansong Pang, Mahsa Salehi et al.
Enhancing Adversarial Transferability with Adversarial Weight Tuning
Jiahao Chen, Zhou Feng, Rui Zeng et al.
Learning from negative feedback, or positive feedback or both
Abbas Abdolmaleki, Bilal Piot, Bobak Shahriari et al.
Auto-Regressive Moving Diffusion Models for Time Series Forecasting
Jiaxin Gao, Qinglong Cao, Yuntian Chen
Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model
Longrong Yang, Dong Shen, Chaoxiang Cai et al.
SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios
Kai Li, Wendi Sang, Chang Zeng et al.
Segment Any 3D Object with Language
Seungjun Lee, Yuyang Zhao, Gim H Lee
Revisiting Random Walks for Learning on Graphs
Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade et al.
Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination
Qi Bi, Jingjun Yi, Haolan Zhan et al.
Mixture of Experts as Representation Learner for Deep Multi-View Clustering
Yunhe Zhang, Jinyu Cai, Zhihao Wu et al.
Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
RUNJIA LI, Qiwei Di, Quanquan Gu
Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy Optimization
Zelai Xu, Wanjun Gu, Chao Yu et al.
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models
Yujing Wang, Hainan Zhang, Liang Pang et al.
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
Seongho Son, William Bankes, Sayak Ray Chowdhury et al.
EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation
Yuqiao Wen, Behzad Shayegh, Chenyang Huang et al.
Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification
Shichen Li, Zhongqing Wang, Zheyu Zhao et al.
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth
ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind
Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida et al.
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models
Wei Guan, Jian Cao, Jianqi Gao et al.
Federated Residual Low-Rank Adaption of Large Language Models
Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo et al.
MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction
Jing Yang, Minyue Jiang, Sen Yang et al.
HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging
Muxi Chen, Chenchen Zhao, Qiang Xu
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers
Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
adil kaan akan, Yucel Yemez
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
Chaowei Zhang, Zongling Feng, Zewei Zhang et al.
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
Pengbo Li, Hang Yu, Xiangfeng Luo
Impossible Videos
Zechen Bai, Hai Ci, Mike Zheng Shou
Capture Global Feature Statistics for One-Shot Federated Learning
Zenghao Guan, Yucan Zhou, Xiaoyan Gu
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models
Yu-An Liu, Ruqing Zhang, Jiafeng Guo et al.
EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
Xiao Long, Liansheng Zhuang, Aodi Li et al.
Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation
Shuanghao Bai, Wanqi Zhou, Pengxiang Ding et al.
Decoupling Angles and Strength in Low-rank Adaptation
Massimo Bini, Leander Girrbach, Zeynep Akata
Adaptive kernel predictors from feature-learning infinite limits of neural networks
Clarissa Lauditi, Blake Bordelon, Cengiz Pehlevan
RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
Jonas Eschmann, Dario Albani, Giuseppe Loianno
Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video
Xiaohao Xu, Tianyi Zhang, Shibo Zhao et al.
A New Federated Learning Framework Against Gradient Inversion Attacks
Pengxin Guo, Shuang Zeng, Wenhao Chen et al.
Controllable Protein Sequence Generation with LLM Preference Optimization
Xiangyu Liu, Yi Liu, Silei Chen et al.
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
Zijia Zhao, Longteng Guo, Jie Cheng et al.
ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design
Keir Adams, Kento Abeywardane, Jenna Fromer et al.
GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs
Maizhen Ning, Zihao Zhou, Qiufeng Wang et al.
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
Yuchen Ren, Zhengyu Zhao, Chenhao Lin et al.
Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
Xinyu He, Dongqi Fu, Hanghang Tong et al.
EWMoE: An Effective Model for Global Weather Forecasting with Mixture-of-Experts
Lihao Gan, Xin Man, Chenghong Zhang et al.
Chain-of-region: Visual Language Models Need Details for Diagram Analysis
Xue Li, Yiyou Sun, Wei Cheng et al.
Neural Variable-Order Fractional Differential Equation Networks
Wenjun Cui, Qiyu Kang, Xuhao Li et al.
Uncertainty-Aware Decoding with Minimum Bayes Risk
Nico Daheim, Clara Meister, Thomas Möllenhoff et al.
Horizon Generalization in Reinforcement Learning
Vivek Myers, Catherine Ji, Benjamin Eysenbach
Instance-dependent Early Stopping
Suqin Yuan, Runqi Lin, Lei Feng et al.
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
Ziyan Wang, Yingpeng Du, Zhu Sun et al.
Mechanisms of Projective Composition of Diffusion Models
Arwen Bradley, Preetum Nakkiran, David Berthelot et al.
Error-quantified Conformal Inference for Time Series
Junxi Wu, Dongjian Hu, Yajie Bao et al.
GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
Celia Rubio-Madrigal, Adarsh Jamadandi, Rebekka Burkholz
How new data permeates LLM knowledge and how to dilute it
Chen Sun, Renat Aksitov, Andrey Zhmoginov et al.
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
Saehyung Lee, Seunghyun Yoon, Trung Bui et al.
Proto Successor Measure: Representing the Behavior Space of an RL Agent
Siddhant Agarwal, Harshit Sikchi, Peter Stone et al.
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation
Liang Chen, Sinan Tan, Zefan Cai et al.
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
Zongkai Liu, Qian Lin, Chao Yu et al.
A Comprehensive Evaluation on Event Reasoning of Large Language Models
Zhengwei Tao, Zhi Jin, Yifan Zhang et al.
Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction
Cheng Xu, Fei Hou, Wencheng Wang et al.
Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network
Xinran Wang, Guang Yang, Tian Ye et al.
Generalization, Expressivity, and Universality of Graph Neural Networks on Attributed Graphs
Levi Rauchwerger, Stefanie Jegelka, Ron Levie
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Zehao Liu, Mengzhou Gao, Pengfei Jiao
Causally Motivated Sycophancy Mitigation for Large Language Models
Haoxi Li, Xueyang Tang, Jie ZHANG et al.
Flaws of ImageNet, Computer Vision's Favourite Dataset
Nikita Kisel, Illia Volkov, Kateřina Hanzelková et al.
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
Yiming Xu, Zhen Peng, Bin Shi et al.
PokéChamp: an Expert-level Minimax Language Agent
Seth Karten, Andy Nguyen, Chi Jin
The Persistence of Neural Collapse Despite Low-Rank Bias
Connall Garrod, Jonathan Keating
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning
Zhe-Rui Yang, Jindong Han, Chang-Dong Wang et al.
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
Bohan Zeng, Shanglin Li, Yutang Feng et al.
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents
Junpeng Yue, Xinrun Xu, Börje F. Karlsson et al.
PanTS: The Pancreatic Tumor Segmentation Dataset
Wenxuan Li, Xinze Zhou, Qi Chen et al.
Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
Gouki Minegishi, Hiroki Furuta, Shohei Taniguchi et al.
Progressive Tempering Sampler with Diffusion
Severi Rissanen, RuiKang OuYang, Jiajun He et al.
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models
Lei Tang, Jinghui Qin, Wenxuan Ye et al.
Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning
Xiangning Yu, Zhuohan Wang, Linyi Yang et al.
Griffin: Towards a Graph-Centric Relational Database Foundation Model
Yanbo Wang, Xiyuan Wang, Quan Gan et al.
Composing Unbalanced Flows for Flexible Docking and Relaxation
Gabriele Corso, Vignesh Ram Somnath, Noah Getz et al.
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
Feng Tian, Yixuan Li, Yichao Yan et al.
PokerBench: Training Large Language Models to Become Professional Poker Players
Richard Zhuang, Akshat Gupta, Richard Yang et al.
Online Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Hongzhi Zang, Yulun Zhang, He Jiang et al.
IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model
Yatai Ji, Shilong Zhang, Jie Wu et al.
Towards Black-Box Membership Inference Attack for Diffusion Models
Jingwei Li, Jing Dong, Tianxing He et al.
OVTR: End-to-End Open-Vocabulary Multiple Object Tracking with Transformer
Jinyang Li, En Yu, Sijia Chen et al.
On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth
Gennadiy Averkov, Christopher Hojny, Maximilian Merkert
Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously
Hannaneh Akrami, Nidhi Rathi
Generative Social Choice: The Next Generation
Niclas Boehmer, Sara Fish, Ariel Procaccia
REvolve: Reward Evolution with Large Language Models using Human Feedback
RISHI HAZRA, Alkis Sygkounas, Andreas Persson et al.
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology
Pei Liu, Luping Ji, Jiaxiang Gou et al.
Motion-adaptive Transformer for Event-based Image Deblurring
Senyan Xu, Zhijing Sun, Mingchen Zhong et al.
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai et al.
GIVE: Structured Reasoning of Large Language Models with Knowledge Graph Inspired Veracity Extrapolation
Jiashu HE, Mingyu Ma, Jinxuan Fan et al.
Adapters for Altering LLM Vocabularies: What Languages Benefit the Most?
HyoJung Han, Akiko Eriguchi, Haoran Xu et al.
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
Yike Yuan, Ziyu Wang, Zihao Huang et al.
Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework
Zhenjie Xu, Wenqing Chen, Yi Tang et al.
Homomorphism Counts as Structural Encodings for Graph Learning
Linus Bao, Emily Jin, Michael Bronstein et al.
Scalable Model Merging with Progressive Layer-wise Distillation
Jing Xu, Jiazheng Li, Jingzhao Zhang
Circuit Transformer: A Transformer That Preserves Logical Equivalence
Xihan Li, Xing Li, Lei Chen et al.
As large as it gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters
Margret Keuper, Julia Grabinski, Janis Keuper
Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection
Chenxu Wang, Chunyan Xu, Xiang Li et al.
Data Unlearning in Diffusion Models
Silas Alberti, Kenan Hasanaliyev, Manav Shah et al.
TabWak: A Watermark for Tabular Diffusion Models
Chaoyi Zhu, Jiayi Tang, Jeroen Galjaard et al.
GaussMark: A Practical Approach for Structural Watermarking of Language Models
Adam Block, Alexander Rakhlin, Ayush Sekhari
Federated Domain Generalization with Data-free On-server Matching Gradient
Binh Nguyen, Minh-Duong Nguyen, Jinsun Park et al.
NeSyC: A Neuro-symbolic Continual Learner For Complex Embodied Tasks in Open Domains
Wonje Choi, Jinwoo Park, Sanghyun Ahn et al.
Perception in Reflection
Yana Wei, Liang Zhao, Kangheng Lin et al.
Correlated Errors in Large Language Models
Elliot Myunghoon Kim, Avi Garg, Kenny Peng et al.
NutriBench: A Dataset for Evaluating Large Language Models in Nutrition Estimation from Meal Descriptions
Mehak Dhaliwal, Andong Hua, Laya Pullela et al.
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models
Chengyue Huang, Junjiao Tian, Brisa Maneechotesuwan et al.
Generalized Consistency Trajectory Models for Image Manipulation
Beomsu Kim, Jaemin Kim, Jeongsol Kim et al.
Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers
Lei Chen, Joan Bruna, Alberto Bietti
QCS:Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition
Chengpeng Wang, Li Chen, Lili Wang et al.
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Ya-Wei Eileen Lin, Ronald Coifman, Gal Mishne 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.
Sharpness-Aware Minimization: General Analysis and Improved Rates
Dimitris Oikonomou, Nicolas Loizou
X-Drive: Cross-modality Consistent Multi-Sensor Data Synthesis for Driving Scenarios
Yichen Xie, Chenfeng Xu, Chensheng Peng et al.
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
Yeoreum Lee, Jinwook Jung, Sungyong Baik
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
Zhongjian Qiao, Jiafei Lyu, Kechen Jiao et al.
CTSyn: A Foundation Model for Cross Tabular Data Generation
Xiaofeng Lin, Chenheng Xu, Matthew Yang et al.
Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization
Chenbei Lu, Laixi Shi, Zaiwei Chen et al.
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
Thomas T. Zhang, Behrad Moniri, Ansh Nagwekar et al.
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling
Yongqi Huang, Jitao Zhao, Dongxiao He et al.
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies
Zhao Shan, Chenyou Fan, Shuang Qiu et al.
TopoDiffusionNet: A Topology-aware Diffusion Model
Saumya Gupta, Dimitris Samaras, Chao Chen
Progressive Mixed-Precision Decoding for Efficient LLM Inference
Hao (Mark) Chen, Fuwen Tan, Alexandros Kouris et al.
Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models
Benjamin Walker, Lingyi Yang, Nicola Muca Cirone et al.
Sparse Learning for State Space Models on Mobile
Xuan Shen, Hangyu Zheng, Yifan Gong et al.
Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning
Yang You, Yixin Li, Congyue Deng et al.
Data Pruning by Information Maximization
Haoru Tan, Sitong Wu, Wei Huang et al.
Beware of Calibration Data for Pruning Large Language Models
Yixin Ji, Yang Xiang, Juntao Li et al.
Sorbet: A Neuromorphic Hardware-Compatible Transformer-Based Spiking Language Model
Kaiwen Tang, Zhanglu Yan, Weng-Fai Wong
Adaptive Draft-Verification for Efficient Large Language Model Decoding
Xukun Liu, Bowen Lei, Ruqi Zhang et al.
Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum
SARIT KHIRIRAT, Abdurakhmon Sadiev, Artem Riabinin et al.
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu, Cheems Wang, Yixiu Mao et al.
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
Wenlong Deng, Yize Zhao, Vala Vakilian et al.
Do LLMs have Consistent Values?
Naama Rozen, Liat Bezalel, Gal Elidan et al.
Graph4MM: Weaving Multimodal Learning with Structural Information
Xuying Ning, Dongqi Fu, Tianxin Wei et al.
Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator
Jianze Li, Jiezhang Cao, Zichen Zou et al.
Face-Human-Bench: A Comprehensive Benchmark of Face and Human Understanding for Multi-modal Assistants
Lixiong Qin, Shilong Ou, Miaoxuan Zhang et al.
SteerConf: Steering LLMs for Confidence Elicitation
Ziang Zhou, Tianyuan Jin, Jieming Shi et al.
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning
Yassine Chemingui, Aryan Deshwal, Honghao Wei et al.
HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts
Mengqi Liao, Wei Chen, Junfeng Shen et al.
Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval
Yuan Li, Liangli Zhen, Yuan Sun et al.
3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding
Xindian Ma, Wenyuan Liu, Peng Zhang et al.
Equivariant Polynomial Functional Networks
Thieu Vo, Viet Hoang Tran, Tho Tran Huu et al.
Decision Tree Induction Through LLMs via Semantically-Aware Evolution
Tennison Liu, Nicolas Huynh, Mihaela van der Schaar
Layerwise Recurrent Router for Mixture-of-Experts
Zihan Qiu, Zeyu Huang, Shuang Cheng et al.
DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints
Andrew Zhao, Quentin Xu, Matthieu Lin et al.
Rethinking the role of frames for SE(3)-invariant crystal structure modeling
Yusei Ito, Tatsunori Taniai, Ryo Igarashi et al.
A General Framework for Producing Interpretable Semantic Text Embeddings
Yiqun Sun, Qiang Huang, Yixuan Tang et al.
Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching
Joan Serrà, Recep Oguz Araz, Dmitry Bogdanov et al.
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities
Lichang Chen, Hexiang Hu, Mingda Zhang et al.
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion
Honglei Miao, Fan Ma, Ruijie Quan et al.
Quantum-PEFT: Ultra parameter-efficient fine-tuning
Toshiaki Koike-Akino, Francesco Tonin, Yongtao Wu et al.
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuning
Joey Hong, Anca Dragan, Sergey Levine
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
Ángela López-Cardona, Carlos Segura, Alexandros Karatzoglou et al.
Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations
Richard Bergna, Sergio Calvo Ordoñez, Felix Opolka et al.
RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images
Benzhi Wang, Jingkai Zhou, Jingqi Bai et al.
Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
Qinglin Zhu, Runcong Zhao, Hanqi Yan et al.
MANTRA: The Manifold Triangulations Assemblage
Rubén Ballester, Ernst Roell, Daniel Bin Schmid et al.
TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings
Dawei Yan, Pengcheng Li, Yang Li et al.
PROXSPARSE: REGULARIZED LEARNING OF SEMI-STRUCTURED SPARSITY MASKS FOR PRETRAINED LLMS
Hongyi Liu, Rajarshi Saha, Zhen Jia et al.
Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
Hanzhu Chen, Xu Shen, Jie Wang et al.
EditRoom: LLM-parameterized Graph Diffusion for Composable 3D Room Layout Editing
Kaizhi Zheng, Xiaotong Chen, Xuehai He et al.
Geometry-Informed Neural Networks
Arturs Berzins, Andreas Radler, Eric Volkmann et al.
Volume Optimality in Conformal Prediction with Structured Prediction Sets
Chao Gao, Liren Shan, Vaidehi Srinivas et al.
SolidGeo: Measuring Multimodal Spatial Math Reasoning in Solid Geometry
Peijie Wang, Chao Yang, Zhong-Zhi Li et al.
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
Xiaopeng Li, Shasha Li, Shezheng Song et al.
CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
Zhenhan FANG, Aixin Tan, Jian Huang
INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning
Wujian Peng, Lingchen Meng, Yitong Chen et al.
Secant Line Search for Frank-Wolfe Algorithms
Deborah Hendrych, Sebastian Pokutta, Mathieu Besançon et al.
C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation
Guoxin Chen, Minpeng Liao, Peiying Yu et al.
Bundle Neural Network for message diffusion on graphs
Jacob Bamberger, Federico Barbero, Xiaowen Dong et al.
Re-Attentional Controllable Video Diffusion Editing
Yuanzhi Wang, Yong Li, Mengyi Liu et al.
Representative Language Generation
Charlotte Peale, Vinod Raman, Omer Reingold
Unified Breakdown Analysis for Byzantine Robust Gossip
Renaud Gaucher, Aymeric Dieuleveut, Hadrien Hendrikx
Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance
Muhammad Reza Qorib, Qisheng Hu, Hwee Tou Ng
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
Can Jin, Ying Li, Mingyu Zhao et al.