Most Cited 2024 "orlicz space" Papers
12,324 papers found • Page 2 of 62
Conference
Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke, Anton Obukhov, Shengyu Huang et al.
Human Motion Diffusion as a Generative Prior
Yonatan Shafir, Guy Tevet, Roy Kapon et al.
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Kevin Clark, Paul Vicol, Kevin Swersky et al.
Gated Linear Attention Transformers with Hardware-Efficient Training
Songlin Yang, Bailin Wang, Yikang Shen et al.
Statistical Rejection Sampling Improves Preference Optimization
Tianqi Liu, Yao Zhao, Rishabh Joshi et al.
Splatter Image: Ultra-Fast Single-View 3D Reconstruction
Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi
PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
Tianyi Xie, Zeshun Zong, Yuxing Qiu et al.
MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model
Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew et al.
Detecting Pretraining Data from Large Language Models
Weijia Shi, Anirudh Ajith, Mengzhou Xia et al.
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding
Zhen Li, Mingdeng Cao, Xintao Wang et al.
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Izzeddin Gur, Hiroki Furuta, Austin Huang et al.
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion
Vikram Voleti, Chun-Han Yao, Mark Boss et al.
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Xingchao Liu, Xiwen Zhang, Jianzhu Ma et al.
Vision-Language Foundation Models as Effective Robot Imitators
Xinghang Li, Minghuan Liu, Hanbo Zhang et al.
TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Jian Xie, Kai Zhang, Jiangjie Chen et al.
GeoChat: Grounded Large Vision-Language Model for Remote Sensing
Kartik Kuckreja, Muhammad Sohail Danish, Muzammal Naseer et al.
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jun Hao Liew et al.
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Ori Yoran, Tomer Wolfson, Ori Ram et al.
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Guan Wang, Sijie Cheng, Xianyuan Zhan et al.
UniDepth: Universal Monocular Metric Depth Estimation
Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis et al.
Video-P2P: Video Editing with Cross-attention Control
Shaoteng Liu, Yuechen Zhang, Wenbo Li et al.
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint
Wei Xiong, Hanze Dong, Chenlu Ye et al.
SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
Yihua Huang, Yangtian Sun, Ziyi Yang et al.
Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis
Zhan Li, Zhang Chen, Zhong Li et al.
TD-MPC2: Scalable, Robust World Models for Continuous Control
Nicklas Hansen, Hao Su, Xiaolong Wang
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Saleh Ashkboos, Maximilian Croci, Marcelo Gennari do Nascimento et al.
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Qihang Zhou, Guansong Pang, Yu Tian et al.
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
Zeqian Ju, Yuancheng Wang, Kai Shen et al.
An Embodied Generalist Agent in 3D World
Jiangyong Huang, Silong Yong, Xiaojian Ma et al.
AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training
Ziyu Wan, Xidong Feng, Muning Wen et al.
Personalize Segment Anything Model with One Shot
Renrui Zhang, Zhengkai Jiang, Ziyu Guo et al.
MoMask: Generative Masked Modeling of 3D Human Motions
chuan guo, Yuxuan Mu, Muhammad Gohar Javed et al.
FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
Zehao Zhu, Zhiwen Fan, Yifan Jiang et al.
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Yung-Sung Chuang, Yujia Xie, Hongyin Luo et al.
PointLLM: Empowering Large Language Models to Understand Point Clouds
Runsen Xu, Xiaolong Wang, Tai Wang et al.
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit et al.
ReconFusion: 3D Reconstruction with Diffusion Priors
Rundi Wu, Ben Mildenhall, Philipp Henzler et al.
MemoryBank: Enhancing Large Language Models with Long-Term Memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao et al.
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
Minghua Liu, Ruoxi Shi, Linghao Chen et al.
Long-CLIP: Unlocking the Long-Text Capability of CLIP
Beichen Zhang, Pan Zhang, Xiaoyi Dong et al.
DreamLLM: Synergistic Multimodal Comprehension and Creation
Runpei Dong, chunrui han, Yuang Peng et al.
Understanding the Effects of RLHF on LLM Generalisation and Diversity
Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis et al.
Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos
Yue Ma, Yingqing HE, Xiaodong Cun et al.
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Chongyu Fan, Jiancheng Liu, Yihua Zhang et al.
DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior
Xinqi Lin, Jingwen He, Ziyan Chen et al.
NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large Language Models
Gengze Zhou, Yicong Hong, Qi Wu
LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matching
Yixun Liang, Xin Yang, Jiantao Lin et al.
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
Dongping Chen, Ruoxi Chen, Shilin Zhang et al.
InceptionNeXt: When Inception Meets ConvNeXt
Weihao Yu, Pan Zhou, Shuicheng Yan et al.
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action
Jiasen Lu, Christopher Clark, Sangho Lee et al.
DeepCache: Accelerating Diffusion Models for Free
Xinyin Ma, Gongfan Fang, Xinchao Wang
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
Dai Shi
Provable Robust Watermarking for AI-Generated Text
Xuandong Zhao, Prabhanjan Ananth, Lei Li et al.
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Yiran Ding, Li Lyna Zhang, Chengruidong Zhang et al.
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
Tianyang Liu, Canwen Xu, Julian McAuley
Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers
Zi-Xin Zou, Zhipeng Yu, Yuan-Chen Guo et al.
Photorealistic Video Generation with Diffusion Models
Agrim Gupta, Lijun Yu, Kihyuk Sohn et al.
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
Lu Ling, Yichen Sheng, Zhi Tu et al.
VeRA: Vector-based Random Matrix Adaptation
Dawid Kopiczko, Tijmen Blankevoort, Yuki Asano
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
Yiyang Zhou, Chenhang Cui, Jaehong Yoon et al.
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu et al.
MedSegDiff-V2: Diffusion-based Medical Image Segmentation with Transformer
Junde Wu, Wei Ji, Huazhu Fu et al.
SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
Rongyuan Wu, Tao Yang, Lingchen Sun et al.
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang, Weihua Du, Jiaming Shan et al.
Evaluating Large Language Models at Evaluating Instruction Following
Zhiyuan Zeng, Jiatong Yu, Tianyu Gao et al.
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Zhibin Gou, Zhihong Shao, Yeyun Gong et al.
SqueezeLLM: Dense-and-Sparse Quantization
Sehoon Kim, Coleman Hooper, Amir Gholaminejad et al.
NuScenes-QA: A Multi-Modal Visual Question Answering Benchmark for Autonomous Driving
Tianwen Qian, Jingjing Chen, Linhai Zhuo et al.
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
Guangsheng Bao, Yanbin Zhao, Zhiyang Teng et al.
Factorizing Text-to-Video Generation by Explicit Image Conditioning
Rohit Girdhar, Mannat Singh, Andrew Brown et al.
Detecting and Preventing Hallucinations in Large Vision Language Models
Anisha Gunjal, Jihan Yin, Erhan Bas
GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation
Yinghao Xu, Zifan Shi, Wang Yifan et al.
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yi-Lun Liao, Brandon Wood, Abhishek Das et al.
Large Language Models as Tool Makers
Tianle Cai, Xuezhi Wang, Tengyu Ma et al.
Stochastic Controlled Averaging for Federated Learning with Communication Compression
Xinmeng Huang, Ping Li, Xiaoyun Li
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
Jian Xie, Kai Zhang, Jiangjie Chen et al.
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Xingyao Wang, Zihan Wang, Jiateng Liu et al.
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Siddharth Karamcheti, Suraj Nair, Ashwin Balakrishna et al.
The Alignment Problem from a Deep Learning Perspective
Richard Ngo, Lawrence Chan, Sören Mindermann
Reconstructing Hands in 3D with Transformers
Georgios Pavlakos, Dandan Shan, Ilija Radosavovic et al.
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
Yichao Fu, Peter Bailis, Ion Stoica et al.
VTimeLLM: Empower LLM to Grasp Video Moments
Bin Huang, Xin Wang, Hong Chen et al.
On Scaling Up a Multilingual Vision and Language Model
Xi Chen, Josip Djolonga, Piotr Padlewski et al.
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving
Yuqi Wang, Jiawei He, Lue Fan et al.
Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study
Shusheng Xu, Wei Fu, Jiaxuan Gao et al.
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
Hao Shao, Yuxuan Hu, Letian Wang et al.
Language Models Represent Space and Time
Wes Gurnee, Max Tegmark
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
Kai Zhang, Sai Bi, Hao Tan et al.
Emu Edit: Precise Image Editing via Recognition and Generation Tasks
Shelly Sheynin, Adam Polyak, Uriel Singer et al.
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier et al.
Fine-Tuning Language Models for Factuality
Katherine Tian, Eric Mitchell, Huaxiu Yao et al.
Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization
Tao Yang, Rongyuan Wu, Peiran Ren et al.
QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference
Jiaming Tang, Yilong Zhao, Kan Zhu et al.
Can LLM-Generated Misinformation Be Detected?
Canyu Chen, Kai Shu
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models
Yaofang Liu, Xiaodong Cun, Xuebo Liu et al.
RoMa: Robust Dense Feature Matching
Johan Edstedt, Qiyu Sun, Georg Bökman et al.
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
Hongtao Wu, Ya Jing, Chilam Cheang et al.
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
Inbar Huberman-Spiegelglas, Vladimir Kulikov, Tomer Michaeli
GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
Taoran Yi, Jiemin Fang, Junjie Wang et al.
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Yunyang Xiong, Balakrishnan Varadarajan, Lemeng Wu et al.
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
Xin Guo, Jiangwei Lao, Bo Dang et al.
Physics of Language Models: Part 3.1, Knowledge Storage and Extraction
Zeyuan Allen-Zhu, Yuanzhi Li
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition
Xiaohan Ding, Yiyuan Zhang, Yixiao Ge et al.
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization
Jiahe Li, Jiawei Zhang, Xiao Bai et al.
Self-Consuming Generative Models Go MAD
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi et al.
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Hong Liu, Zhiyuan Li, David Hall et al.
QuIP$\#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
Albert Tseng, Jerry Chee, Qingyao Sun et al.
Knowledge Graph Prompting for Multi-Document Question Answering
Yu Wang, Nedim Lipka, Ryan A. Rossi et al.
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
Xuhui Zhou, Hao Zhu, Leena Mathur et al.
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
Xiaofeng Wang, Zheng Zhu, Guan Huang et al.
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance
Shenhao Zhu, Junming Chen, Zuozhuo Dai et al.
Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
Haoning Wu, Zicheng Zhang, Erli Zhang et al.
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
Shenhan Qian, Tobias Kirschstein, Liam Schoneveld et al.
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Biao Zhang, Zhongtao Liu, Colin Cherry et al.
SaProt: Protein Language Modeling with Structure-aware Vocabulary
Jin Su, Chenchen Han, Yuyang Zhou et al.
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Fanghua Yu, Jinjin Gu, Zheyuan Li et al.
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Yizhi Li, Ruibin Yuan, Ge Zhang et al.
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
Yi Wang, Kunchang Li, Xinhao Li et al.
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Yukang Chen, Shengju Qian, Haotian Tang et al.
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Erfan Shayegani, Yue Dong, Nael Abu-Ghazaleh
Sequential Modeling Enables Scalable Learning for Large Vision Models
Yutong Bai, Xinyang Geng, Karttikeya Mangalam et al.
Omni-Kernel Network for Image Restoration
Yuning Cui, Wenqi Ren, Alois Knoll
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design
Andrew Campbell, Jason Yim, Regina Barzilay et al.
3D-VLA: A 3D Vision-Language-Action Generative World Model
Haoyu Zhen, Xiaowen Qiu, Peihao Chen et al.
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Nataniel Ruiz, Yuanzhen Li, Varun Jampani et al.
Better & Faster Large Language Models via Multi-token Prediction
Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Roziere et al.
GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces
Yingwenqi Jiang, Jiadong Tu, Yuan Liu et al.
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
Xiaohan Wang, Yuhui Zhang, Orr Zohar et al.
Segment and Recognize Anything at Any Granularity
Feng Li, Hao Zhang, Peize Sun et al.
GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image
Xiao Fu, Wei Yin, Mu Hu et al.
OpenEQA: Embodied Question Answering in the Era of Foundation Models
Arjun Majumdar, Anurag Ajay, Xiaohan Zhang et al.
Style Aligned Image Generation via Shared Attention
Amir Hertz, Andrey Voynov, Shlomi Fruchter et al.
DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
Yinghao Xu, Hao Tan, Fujun Luan et al.
FreeU: Free Lunch in Diffusion U-Net
Chenyang Si, Ziqi Huang, Yuming Jiang et al.
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
Wei-Bang Jiang, Liming Zhao, Bao-liang Lu
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
Yufei Wang, Wenhan Yang, Xinyuan Chen et al.
MACE: Mass Concept Erasure in Diffusion Models
Shilin Lu, Zilan Wang, Leyang Li et al.
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Defu Cao, Furong Jia, Sercan Arik et al.
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova et al.
Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
Jiwoo Chung, Sangeek Hyun, Jae-Pil Heo
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Zhiyuan Li, Hong Liu, Denny Zhou et al.
Listen, Think, and Understand
Yuan Gong, Hongyin Luo, Alexander Liu et al.
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Alex Gu, Baptiste Roziere, Hugh Leather et al.
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
Chao Chen, Kai Liu, Ze Chen et al.
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
Sheng Liu, Haotian Ye, Lei Xing et al.
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Linrui Tian, Qi Wang, Bang Zhang et al.
PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Junsong Chen, Chongjian GE, Enze Xie et al.
Data Filtering Networks
Alex Fang, Albin Madappally Jose, Amit Jain et al.
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis
Simon Niedermayr, Josef Stumpfegger, rüdiger westermann
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
Fangyuan Xu, Weijia Shi, Eunsol Choi
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
Licheng Wen, DAOCHENG FU, Xin Li et al.
One For All: Towards Training One Graph Model For All Classification Tasks
Hao Liu, Jiarui Feng, Lecheng Kong et al.
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu
VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction
Jiaqi Lin, Zhihao Li, Xiao Tang et al.
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
Zhengyi Wang, Yikai Wang, Yifei Chen et al.
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
Rishabh Agarwal, Nino Vieillard, Yongchao Zhou et al.
MagicDrive: Street View Generation with Diverse 3D Geometry Control
Ruiyuan Gao, Kai Chen, Enze Xie et al.
Demystifying CLIP Data
Hu Xu, Saining Xie, Xiaoqing Tan et al.
GaussianPro: 3D Gaussian Splatting with Progressive Propagation
Kai Cheng, Xiaoxiao Long, Kaizhi Yang et al.
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers
Yawar Siddiqui, Antonio Alliegro, Alexey Artemov et al.
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
Xavier Puig, Eric Undersander, Andrew Szot et al.
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
Ganqu Cui, Lifan Yuan, Ning Ding et al.
A Variational Perspective on Solving Inverse Problems with Diffusion Models
Morteza Mardani, Jiaming Song, Jan Kautz et al.
Agent Attention: On the Integration of Softmax and Linear Attention
Dongchen Han, Tianzhu Ye, Yizeng Han et al.
FITS: Modeling Time Series with $10k$ Parameters
Zhijian Xu, Ailing Zeng, Qiang Xu
Debating with More Persuasive LLMs Leads to More Truthful Answers
Akbir Khan, John Hughes, Dan Valentine et al.
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Victoria Lin, Xilun Chen, Mingda Chen et al.
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue
Songhua Yang, Hanjie Zhao, Senbin Zhu et al.
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Zilong Wang, Hao Zhang, Chun-Liang Li et al.
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Kai Yang, Jian Tao, Jiafei Lyu et al.
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Chong Mou, Xintao Wang, Jiechong Song et al.
From Sparse to Soft Mixtures of Experts
Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa et al.
Identifying the Risks of LM Agents with an LM-Emulated Sandbox
Yangjun Ruan, Honghua Dong, Andrew Wang et al.
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang et al.
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
Xinyuan Chen, Yaohui Wang, Lingjun Zhang et al.
Magicoder: Empowering Code Generation with OSS-Instruct
Yuxiang Wei, Zhe Wang, Jiawei Liu et al.
Honeybee: Locality-enhanced Projector for Multimodal LLM
Junbum Cha, Woo-Young Kang, Jonghwan Mun et al.
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting
Zhiyin Qian, Shaofei Wang, Marko Mihajlovic et al.
Proving Test Set Contamination in Black-Box Language Models
Yonatan Oren, Nicole Meister, Niladri Chatterji et al.
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Jiawei Yang, Boris Ivanovic, Or Litany et al.
Conformal Risk Control
Anastasios Angelopoulos, Stephen Bates, Adam Fisch et al.
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Xinyuan Wang, Chenxi Li, Zhen Wang et al.
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models
Yixiao Li, Yifan Yu, Chen Liang et al.
OneLLM: One Framework to Align All Modalities with Language
Jiaming Han, Kaixiong Gong, Yiyuan Zhang et al.
Multilingual Jailbreak Challenges in Large Language Models
Yue Deng, Wenxuan Zhang, Sinno Pan et al.
COLMAP-Free 3D Gaussian Splatting
Yang Fu, Sifei Liu, Amey Kulkarni et al.
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
Chenxi Sun, Hongyan Li, Yaliang Li et al.
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Shilong Liu, Hao Cheng, Haotian Liu et al.
Think before you speak: Training Language Models With Pause Tokens
Sachin Goyal, Ziwei Ji, Ankit Singh Rawat et al.
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
Ling Yang, Zhaochen Yu, Chenlin Meng et al.
Fast Timing-Conditioned Latent Audio Diffusion
Zach Evans, CJ Carr, Josiah Taylor et al.
MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models
Xin Liu, Yichen Zhu, Jindong Gu et al.
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Hengrui Zhang, Jiani Zhang, Zhengyuan Shen et al.
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Aojun Zhou, Ke Wang, Zimu Lu et al.
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
Le Xue, Ning Yu, Shu Zhang et al.
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang et al.
PixelLM: Pixel Reasoning with Large Multimodal Model
Zhongwei Ren, Zhicheng Huang, Yunchao Wei et al.
Function Vectors in Large Language Models
Eric Todd, Millicent Li, Arnab Sen Sharma et al.
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
Liangxiao Hu, Hongwen Zhang, Yuxiang Zhang et al.