1 citations · 1 across the 5 of their papers we have counts for
5 papers
Training-Induced Bias Toward LLM-Generated Content in Dense Retrieval
William Xion, Wolfgang Nejdl
Dense retrieval is a promising approach for acquiring relevant context or world knowledge in open-domain natural language processing tasks and is now widely used in information ret…
MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competition
Tim Cofala, Christian Kalfar, Jingge Xiao +3
Therapeutic decision-making in clinical medicine constitutes a high-stakes domain in which AI guidance interacts with complex interactions among patient characteristics, disease pr…
Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation
Amir Abolfazli, Zekun Song, Avishek Anand +1
The success of deep reinforcement learning (DRL) relies on the availability and quality of training data, often requiring extensive interactions with specific environments. In many…
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
Jingge Xiao, Yile Chen, Gao Cong +2
Forecasting time series with irregular temporal structures remains challenging for universal pre-trained models. Existing approaches often assume regular sampling or depend heavily…
ECOR: Explainable CLIP for Object Recognition
Ali Rasekh, Sepehr Kazemi Ranjbar, Milad Heidari +1
Large Vision Language Models (VLMs), such as CLIP, have significantly contributed to various computer vision tasks, including object recognition and object detection. Their open vo…