· ai
[Paper] CAOS: Conformal Aggregation of One-Shot Predictors
One-shot prediction enables rapid adaptation of pretrained foundation models to new tasks using only one labeled example, but lacks principled uncertainty quant...
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- · ai
[Paper] MineNPC-Task: Task Suite for Memory-Aware Minecraft Agents
We present textsc{MineNPC-Task}, a user-authored benchmark and evaluation harness for testing memory-aware, mixed-initiative LLM agents in open-world Minecraft....
- · ai
[Paper] Internal Representations as Indicators of Hallucinations in Agent Tool Selection
Large Language Models (LLMs) have shown remarkable capabilities in tool calling and tool usage, but suffer from hallucinations where they choose incorrect tools...
- · ai
[Paper] FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching
Brain Magnetic Resonance Imaging (MRI) plays a central role in studying neurological development, aging, and diseases. One key application is Brain Age Predicti...
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[Paper] MoE3D: A Mixture-of-Experts Module for 3D Reconstruction
MoE3D is a mixture-of-experts module designed to sharpen depth boundaries and mitigate flying-point artifacts (highlighted in red) of existing feed-forward 3D r...
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[Paper] EARL: Energy-Aware Optimization of Liquid State Machines for Pervasive AI
Pervasive AI increasingly depends on on-device learning systems that deliver low-latency and energy-efficient computation under strict resource constraints. Liq...
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[Paper] Stock Market Price Prediction using Neural Prophet with Deep Neural Network
Stock market price prediction is a significant interdisciplinary research domain that depends at the intersection of finance, statistics, and economics. Forecas...
- · ai
[Paper] Mechanisms of Prompt-Induced Hallucination in Vision-Language Models
Large vision-language models (VLMs) are highly capable, yet often hallucinate by favoring textual prompts over visual evidence. We study this failure mode in a ...
- · ai
[Paper] An interpretable data-driven approach to optimizing clinical fall risk assessment
In this study, we aim to better align fall risk prediction from the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) with additional clinically meaningful measu...
- · ai
[Paper] LELA: an LLM-based Entity Linking Approach with Zero-Shot Domain Adaptation
Entity linking (mapping ambiguous mentions in text to entities in a knowledge base) is a foundational step in tasks such as knowledge graph construction, questi...
- · ai
[Paper] Cutting AI Research Costs: How Task-Aware Compression Makes Large Language Model Agents Affordable
When researchers deploy large language models for autonomous tasks like reviewing literature or generating hypotheses, the computational bills add up quickly. A...
- · ai
[Paper] SimuAgent: An LLM-Based Simulink Modeling Assistant Enhanced with Reinforcement Learning
Large language models (LLMs) have revolutionized text-based code automation, but their potential in graph-oriented engineering workflows remains under-explored....