Papers
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
Chao Zeng, Songwei Liu, Yusheng Xie et al.
A Brief Overview of the First Workshop on Challenges in Processing South Asian Languages (CHiPSAL)
Kengatharaiyer Sarveswaran, Surendrabikram Thapa, Sana Shams et al.
Abstraction Heuristics for Classical Planning Tasks with Conditional Effects
Martín Pozo, Jendrik Seipp
Abstractive Summarization of Low resourced Nepali language using Multilingual Transformers
Prakash Dhakal, Daya Sagar Baral
AbsVis – Benchmarking How Humans and Vision-Language Models “See” Abstract Concepts in Images
Tarun Tater, Diego Frassinelli, Sabine Schulte im Walde
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 Lens for Evaluating Faithfulness Metrics
Kerem Zaman, Shashank Srivastava
A Causal Lens for Learning Long-term Fair Policies
Jacob Lear, Lu Zhang
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 via High-Low Frequency Decomposition for Pan-Sharpening
Ge Meng, Jingjia Huang, Jingyan Tu et al.
Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity
Dmitry Bylinkin, Aleksandr Beznosikov