Papers
Dominance Pruning and Heuristics in Optimal Adversarial Non-Deterministic Planning
Rasmus G. Tollund, Álvaro Torralba
Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?
Grace Chang Yuan, Xiaoman Zhang, Sung Eun Kim et al.
Do Multi-Agents Solve Better Than Single? Evaluating Agentic Frameworks for Diagram-Grounded Geometry Problem Solving and Reasoning
Mahbub E Sobhani, Md. Faiyaz Abdullah Sayeedi, Mohammad Nehad Alam et al.
Do NOT Classify and Count: Hybrid Attribute Control Success Evaluation
Felix Matthias Saaro, Pius von Däniken, Mark Cieliebak et al.
Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging
Qinfeng Li, Miao Pan, Jintao Chen et al.
Don’t Generate, Classify! Low-Latency Prompt Optimization with Structured Complementary Prompt
Hee-Soo Kim, Jun-Young Kim, Jeong-Hwan Lee et al.
Don’t Judge a Book by its Cover: Testing LLMs’ Robustness Under Logical Obfuscation
Abhilekh Borah, Shubhra Ghosh, Kedar Joshi et al.
Don’t Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation
Jiwon Moon, Yerin Hwang, Dongryeol Lee et al.
Don’t Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
Ziyi Zhao, Chongming Gao, Yang Zhang et al.
Don’t Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints
Nicolò Penzo, Marco Guerini, Bruno Lepri et al.
Don’t Trust Generative Agents to Mimic Communication on Social Networks Unless You Benchmarked their Empirical Realism
Simon Münker, Nils Schwager, Achim Rettinger
DOODLE: Diffusion-based Out-of-Distribution Learning for Open-set LiDAR Semantic Segmentation
Changgyoon Oh, Hyeonseong Kim, Daehyun We et al.
Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs
Franziska Weeber, Tanise Ceron, Sebastian Padó
Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality
Jana Jung, Marlene Lutz, Indira Sen et al.
Do Retrieval Augmented Language Models Know When They Don’t Know?
Youchao Zhou, Heyan Huang, Yicheng Liu et al.
Dormant Backdoor: Weaponizing Model Finetuning for Feasible Backdoor Attacks Against Pretrained Models
Ruitao Li, Jiakai Wang, Hairong Chen et al.
DOS: Directional Object Separation in Text Embeddings for Multi-Object Image Generation
Dongnam Byun, Jungwon Park, Jungmin Ko et al.
DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation
Mohamed Abdelsamad, Michael Ulrich, Bin Yang et al.
DoTA: Latent Distribution Conditioned Data Attribution for Diffusion Models
Ninad Joshi, Vivek Srivastava, Shirish Karande
DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation
Shreya Biswas, Zhaozheng Yin
Do Tokenizers Fail on Informal Hindi Expressions? Evidence from Static, Downstream, and Robustness Analyses
Manikandan Ravikiran, Tanmay Tiwari, Vibhu Gupta et al.
Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT
Haiduo Huang, Zhenhua Liu, Tian Xia et al.
Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models
Fei Song, Yi Li, Rui Wang et al.
Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract)
Hanzhang Yuan, Sheng Li
Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation
Taeyeong Kim, SeungJoon Lee, Jung Uk Kim et al.