All Papers
34,598 papers found • Page 7 of 692
Conference
A Controllable Examination for Long-Context Language Models
Yijun Yang, Zeyu Huang, Wenhao Zhu et al.
A Controlled Study on Long Context Extension and Generalization in LLMs
Yi Lu, Jing Nathan Yan, Songlin Yang et al.
A Counterfactual Semantics for Hybrid Dynamical Systems
Andy Zane, Dmitry Batenkov, Rafal Urbaniak et al.
ACPBench: Reasoning About Action, Change, and Planning
Harsha Kokel, Michael Katz, Kavitha Srinivas et al.
Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration
Junyuan Deng, Xinyi Wu, Yongxing Yang et al.
A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing
Alex Clinton, Thomas Zeng, Yiding Chen et al.
A Critical Look At Tokenwise Reward-Guided Text Generation
Ahmad Rashid, Ruotian Wu, Julia Grosse et al.
A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features
Ihab Bendidi, Yassir El Mesbahi, Alisandra Denton et al.
ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
Lequan Lin, Dai Shi, Andi Han et al.
Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models
Xiaoyu Zhan, Wenxuan Huang, Hao Sun et al.
Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios
Huanhuan Yang, Dianxi Shi, Songchang Jin et al.
Action abstractions for amortized sampling
Oussama Boussif, Léna Ezzine, Joseph Viviano et al.
Action-Agnostic Point-Level Supervision for Temporal Action Detection
Shuhei M. Yoshida, Takashi Shibata, Makoto Terao et al.
Action-Constrained Imitation Learning
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio et al.
Action-Dependent Optimality-Preserving Reward Shaping
Grant Forbes, Jianxun Wang, Leonardo Villalobos-Arias et al.
Action Detail Matters: Refining Video Recognition with Local Action Queries
Mengmeng Wang, Zeyi Huang, Xiangjie Kong et al.
Action Dubber: Timing Audible Actions via Inflectional Flow
Wenlong Wan, Weiying Zheng, Tianyi Xiang et al.
Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional
Sanjeev Raja, Martin Šípka, Michael Psenka et al.
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
Yupeng Hou, Jianmo Ni, Zhankui He et al.
ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints
Divij Handa, Pavel Dolin, Shrinidhi Kumbhar et al.
Action Sequence Augmentation for Action Anticipation
Yihui Qiu, Deepu Rajan
Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes
Haotian Wu, Gongpu Chen, Deniz Gunduz
Activated LoRA: Fine-tuned LLMs for Intrinsics
Kristjan Greenewald, Luis Lastras, Thomas Parnell et al.
Activating Sparse Part Concepts for 3D Class Incremental Learning
Zhenya Tian, Jun Xiao, Liu lupeng et al.
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
Sangyeon Park, Isaac Han, Seungwon Oh et al.
Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models
Zekai Zhao, Qi Liu, Kun Zhou et al.
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
Danni Yuan, Mingda Zhang, Shaokui Wei et al.
Activation-Guided Consensus Merging for Large Language Models
Yuxuan Yao, Shuqi LIU, Zehua Liu et al.
Activation-Informed Merging of Large Language Models
Amin Heyrani Nobari, Kaveh Alimohammadi, Ali ArjomandBigdeli et al.
Activation Space Interventions Can Be Transferred Between Large Language Models
Narmeen Oozeer, Dhruv Nathawani, Nirmalendu Prakash et al.
Activation Subspaces for Out-of-Distribution Detection
Barış Zöngür, Robin Hesse, Stefan Roth
Active Data Curation Effectively Distills Large-Scale Multimodal Models
Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem et al.
Active Evaluation Acquisition for Efficient LLM Benchmarking
Yang Li, Jie Ma, Miguel Ballesteros et al.
Active Event-based Stereo Vision
Jianing Li, Yunjian Zhang, Haiqian Han et al.
Active feature acquisition via explainability-driven ranking
Osman Berke Guney, Ketan Saichandran, Karim Elzokm et al.
Active Fine-Tuning of Multi-Task Policies
Marco Bagatella, Jonas Hübotter, Georg Martius et al.
Active Fourier Auditor for Estimating Distributional Properties of ML Models
Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu
ActiveGAMER: Active GAussian Mapping through Efficient Rendering
Liyan Chen, Huangying Zhan, Kevin Chen et al.
Active Hyperspectral Imaging Using an Event Camera
Bohan Yu, Jinxiu Liang, Zhuofeng Wang et al.
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
Yingpeng Du, Zhu Sun, Ziyan Wang et al.
Active Learning for Continual Learning: Keeping the Past Alive in the Present
Jaehyun Park, Dongmin Park, Jae-Gil Lee
Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations
Jason Qin, Hans-Hermann Wessels, Carlos Fernandez-Granda et al.
Active Learning for Neural PDE Solvers
Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller et al.
Active Learning Meets Foundation Models: Fast Remote Sensing Data Annotation for Object Detection
Marvin Burges, Philipe Dias, Dalton Lunga et al.
Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
Erica Zhang, Fangzhao Zhang, Mert Pilanci
Active Learning with Selective Time-Step Acquisition for PDEs
Yegon Kim, Hyunsu Kim, Gyeonghoon Ko et al.
Active Measurement: Efficient Estimation at Scale
Max Hamilton, Jinlin Lai, Wenlong Zhao et al.
Active Membership Inference Test (aMINT): Enhancing Model Auditability with Multi-Task Learning.
Daniel DeAlcala, Aythami Morales, Julian Fierrez et al.
ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample $V$-Ensemble
Tianyuan Chen, Ronglong Cai, Faguo Wu et al.
Active Perception Meets Rule-Guided RL: A Two-Phase Approach for Precise Object Navigation in Complex Environments
Liang Qin, Min Wang, Peiwei Li et al.