Papers
A Budget Recipe for Finetuning a Long-form Legal Summarization Model
Chompakorn Chaksangchaichot, Pawitsapak Akarajaradwong
A Budget Recipe for Finetuning a Long-form Legal Summarization Model
Chompakorn Chaksangchaichot, Pawitsapak Akarajaradwong
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers
Sherwin Bahmani, Ivan Skorokhodov, Guocheng Qian et al.
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
Umesh Bodhwani, Yuan Ling, Shujing Dong et al.
ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation
Qizhen Lan, Qing Tian
A Career Interview Dialogue System using Large Language Model-based Dynamic Slot Generation
Ekai Hashimoto, Mikio Nakano, Takayoshi Sakurai et al.
A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge’ez Script.
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Henok Biadglign Ademtew et al.
A Case for Validation Buffer in Pessimistic Actor-Critic
Michał Nauman, Mateusz Ostaszewski, Marek Cygan
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs
V.S.D.S.Mahesh Akavarapu, Hrishikesh Terdalkar, Pramit Bhattacharyya et al.
A Category-Theoretic Approach to Neural-Symbolic Task Planning with Bidirectional Search
Shuhui Qu, Jie Wang, Kincho Law
ACAttack: Adaptive Cross Attacking RGB-T Tracker via Multi-Modal Response Decoupling
Xinyu Xiang, Qinglong Yan, Hao Zhang et al.
A Causal Framework for Evaluating Deferring Systems
Filippo Palomba, Andrea Pugnana, Jose Manuel Alvarez et al.
A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients
Xinghua Ma, Xingyu Qiu, Yuetan Chu et al.
A Causality-Inspired Model for Intima-Media Thickening Assessment in Ultrasound Videos
Shuo Gao, Meng Yang, Jun Xue et al.
A Causal Lens for Evaluating Faithfulness Metrics
Kerem Zaman, Shashank Srivastava
A Causal Lens for Learning Long-term Fair Policies
Jacob Lear, Lu Zhang
A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
Raanan Yehezkel Rohekar, Yaniv Gurwicz, Sungduk Yu et al.
Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation
Kendong Liu, Zhiyu Zhu, Hui Liu et al.
ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration
Andrew Estornell, Jean-Francois Ton, Yuanshun Yao et al.
AccCtr: Accelerating Training-Free Conditional Control For Diffusion Models
Longquan Dai, He Wang, Yiming Zhang et al.
Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning
Lizhen Xu, Xiuxiu Bai, Xiaojun Jia et al.
Accelerated Diffusion Models via Speculative Sampling
Valentin De Bortoli, Alexandre Galashov, Arthur Gretton et al.
Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening
Ge Meng, Jingjia Huang, Jingyan Tu et al.
Accelerated Free-Breathing 5D Multi-Echo Respiratory Motion-Resolved R2*, PDFF, and QSM Using Novel Composite Total Variation
MungSoo Kang, Or Alus, Youngwook Kee
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
David Martínez-Rubio, Christophe Roux, Christopher Criscitiello et al.