Papers
AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System
Qixin Wang, Dawei Wang, Kun Chen et al.
AdaptViG: Adaptive Vision GNN with Exponential Decay Gating
Mustafa Munir, Md Mostafijur Rahman, Radu Marculescu
AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models
Jiacheng Wang, Tianle Chen, Pengyu Cheng et al.
Ada-RS: Adaptive Rejection Sampling for Selective Thinking
Yirou Ge, Yixi Li, Alec M. Chiu et al.
AdaSpec: Adaptive Multilingual Speculative Decoding with Self-Synthesized Language-Aware Training and Vocabulary Simplification
Dinh-Truong Do, Nguyen-Khang Le, Le-Minh Nguyen
A Data-Centric Analysis of the Impact of Training Data Quality vs. Quantity on P300 Brain-Computer Interface Performance (Student Abstract)
Arnav Gupta, Albert Liu, Eliza Haines et al.
A Data-Centric Approach to Generalizable Speech Deepfake Detection
Wen Huang, Yuchen Mao, Yanmin Qian
A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAM𝛥 Integration into Upcycled MoE
Hao Zhou, Tianhao Li, Zhijun Wang et al.
A Dataset and Framework for Learning State-invariant Object Representations
Rohan Sarkar, Avinash Kak
Addressing Polarization and Unfairness in Performative Prediction
Kun Jin, Tian Xie, Yang Liu et al.
A Deep Learning-Enabled Digital Twin Framework for Fast Online Adaptive Proton Therapy: A Validation Study in A Prostate SBRT Clinical Application
Chih-Wei Chang, Mojtaba Safari, Sri Sai Akkineni et al.
A Deep Network for Object Detection on Inland Waters
Dennis Griesser, Bastian Goldluecke, Matthias O. Franz et al.
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
Jingyi Liao, Yongyi Su, Rong-Cheng Tu et al.
A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning
Yeo Jin Kim, Daeun Hong, Tianshu Wang et al.
A Differential Perspective on Distributional Reinforcement Learning
Juan Sebastian Rojas, Chi-Guhn Lee
A Diffusion-Driven Fine-Grained Nodule Synthesis Framework for Enhanced Lung Nodule Detection from Chest Radiographs
Shreshtha Singh, Aryan Goyal, Ashish Mittal et al.
A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation
Puzhen Wu, Hexin Dong, Yi Lin et al.
A Domain-Specific Curated Benchmark for Entity and Document-Level Relation Extraction
Marco Martinelli, Stefano Marchesin, Vanessa Bonato et al.
A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation
Francesco Doria, Francesco Percassi, Marco Maratea et al.
A Dual-Task Paradigm to Investigate Sentence Comprehension Strategies in Language Models
Rei Emura, Saku Sugawara
Advanced Black-Box Tuning of Large Language Models with Limited API Calls
Zhikang Xie, Weilin Wan, Peizhu Gong et al.
AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
Yun He, Wenzhe Li, Hejia Zhang et al.
Advancing African NLP: UDMorph and flexiPipe
Maarten Janssen
Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation
Liu He, Xiao Zeng, Yizhi Song et al.