Papers
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
Wenyue Hua, Kaijie Zhu, Lingyao Li et al.
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Ruichu Cai, Haiqin Huang, Zhifan Jiang et al.
Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms
Tanja Baeumel, Josef van Genabith, Simon Ostermann
Disentangling Memory and Reasoning Ability in Large Language Models
Mingyu Jin, Weidi Luo, Sitao Cheng et al.
Disentangling Multi-view Representations via Curriculum Learning with Learnable Prior
Kai Guo, Jiedong Wang, Xi Peng et al.
Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment
Jianfei Zhang, Jun Bai, Bei Li et al.
Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning
Ziang Ye, Zhenru Zhang, Yang Zhang et al.
Disentangling Representations through Multi-task Learning
Pantelis Vafidis, Aman Bhargava, Antonio Rangel
Disentangling Safe and Unsafe Image Corruptions via Anisotropy and Locality
Ramchandran Muthukumar, Ambar Pal, Jeremias Sulam et al.
Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video
Guiqiu Liao, Matjaz Jogan, Sai Koushik et al.
Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation
Seunghwan Choi, Jooyeol Yun, Jeonghoon Park et al.
Disentangling Subjectivity and Uncertainty for Hate Speech Annotation and Modeling using Gaze
Özge Alacam, Sanne Hoeken, Andreas Säuberli et al.
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
Jianan Ye, Zhaorui Tan, Yijie Hu et al.
Disentangling Text and Math in Word Problems: Evidence for the Bidimensional Structure of Large Language Models’ Reasoning
Pedro Calais, Gabriel Franco, Zilu Tang et al.
Disentangling the Dual Role of NIC Receive Rings
Boris Pismenny, Adam Morrison, Dan Tsafrir
Disentangling the Roles of Representation and Selection in Data Pruning
Yupei Du, Yingjin Song, Hugh Mee Wong et al.
DisEnvisioner: Disentangled and Enriched Visual Prompt for Customized Image Generation
Jing He, Haodong Li, huyongzhe et al.
DisFlowEm : One-Shot Emotional Talking Head Generation using Disentangled Pose and Expression Flow-Guidance
Sanjana Sinha, Brojeshwar Bhowmick, Lokender Tiwari et al.
(Dis)improved?! How Simplified Language Affects Large Language Model Performance across Languages
Miriam Anschütz, Anastasiya Damaratskaya, Chaeeun Joy Lee et al.
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
Xinwei Zhang, Zhiqi Bu, Borja Balle et al.
DisLoRA: Task-specific Low-Rank Adaptation via Orthogonal Basis from Singular Value Decomposition
She Yifei, Xinhao Wei, Yulong Wang
DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications
Joachim Daiber, Victor Maricato, Ayan Sinha et al.
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction
Rui Qian, Shuangrui Ding, Xiaoyi Dong et al.
DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Control
Haitao Wang, Hejun Wu