AgentHands: Generating interactive hand gestures for spatially grounded agent conversations in XR
Human-Computer Interaction and Visualization
Topic - Edition
AI Research
A New Towards Data Science: A Faster Site and a Brand-New Contributor Portal
We're excited to share some big news: We completely rebuilt the TDS website and our contributor portal. Whether you come here to read, to write, or both, here's what you can expect from our new site. The post A New…
I Deployed My Data Pipeline to AWS. Then Everything That Was “Local” Broke.
What moving a Dockerized pipeline off my laptop taught me about containers, networking, and hidden assumptions. The post I Deployed My Data Pipeline to AWS. Then Everything That Was “Local” Broke. appeared first on…
Recursive CTEs: SQL’s Hidden Graph Traversal Engine
A practical guide to navigate hierarchies, find routes, detect cycles and calculate degrees of separation The post Recursive CTEs: SQL’s Hidden Graph Traversal Engine appeared first on Towards Data Science.
RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs
arXiv:2605.01913v2 Announce Type: replace Abstract: Fine-tuning safety-aligned language models for downstream tasks often leads to substantial degradation of refusal behavior, making models vulnerable to adversarial…
Time-Aware Tranformer-Based Prediction Model for AECOPD
arXiv:2608.21324v1 Announce Type: new Abstract: The rapid symptom change of Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) makes it critical to have time-sensitive prediction models. However, most…
Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation
arXiv:2405.07359v2 Announce Type: replace Abstract: Accurate prediction of electricity day-ahead prices is essential in competitive electricity markets. Although stationary electricity-price forecasting techniques have…
Training DeepFilterNet with Accurate Room Acoustic Simulations Improves Single-Channel Speech Enhancement
arXiv:2608.20971v1 Announce Type: cross Abstract: We investigate how the realism of synthetic room impulse response (RIR) datasets affects the training of DeepFilterNet3 for single-channel speech enhancement. We compare…
Conditional-Independence-Regularized Distributional Autoencoders for Mixed-Type Data
arXiv:2608.20562v1 Announce Type: cross Abstract: Mixed-type data containing both numerical and categorical variables arise in many scientific and real-world applications. Existing representation learning and generative…
Quantization-Aware Healing: A Practical Recipe for Recovering Compressed, 4-Bit LLMs
arXiv:2608.20953v1 Announce Type: cross Abstract: Serving large language models cheaply increasingly means shipping models that are both structurally compressed to a fraction of their parameters and quantized to 4 bits.…
Hidden Axis of Uncertainty: Latent-Posterior Alignment in Graph Neural Networks with Bayesian Output Layers
arXiv:2608.20758v1 Announce Type: new Abstract: Bayesian Neural Networks (BNNs) with Bayesian output layers provide a principled and tractable framework for quantifying predictive uncertainty, yet the mechanisms shaping…
SPARCL: Spectral Partitioned Analytic Continual Learning
arXiv:2608.21307v1 Announce Type: new Abstract: Analytic continual learning has emerged as a strong exemplar-free alternative to gradient-based class-incremental learning because it replaces iterative optimization with…
Reinforcing Multi-Turn Reasoning in LLM Agents via Fine-Grained Reward Structure and Credit Assignment
arXiv:2505.11821v3 Announce Type: replace Abstract: Reinforcement Learning (RL) approaches have been wildly used to enhance the reasoning capabilities of Large Language Model (LLM) agents in long-horizon, multi-turn…
Causal Modeling of Adverse Pregnancy Outcomes via Adaptive LLM Proposals
arXiv:2608.21079v1 Announce Type: new Abstract: Adverse Pregnancy Outcomes (APOs) such as preterm birth and gestational diabetes can have long-term consequences for both the mother and child, yet an understanding of…
Detecting Functional Memorization in Code Language Models
arXiv:2606.12764v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used to generate code at scale. Meanwhile, prior work has investigated whether training data may be recoverable from…
Neuro-Geospatial Modelling of EEG Affective States Using Literature-Informed Environmental Context
arXiv:2608.20807v1 Announce Type: cross Abstract: Environmental exposures such as air pollution and greenness have been associated with affective and cognitive outcomes, but EEG and environmental datasets are rarely…
Green BOA: Determining the environmental break-even point for ML-based data compression
arXiv:2608.19994v2 Announce Type: replace Abstract: We summarise the outcome of two summer internship projects based at the University of Manchester, focused on the break-even point in terms of environmental…
The Intrinsic Dimension of Prompts in Internal Representations of Large Language Models
arXiv:2501.10573v2 Announce Type: replace-cross Abstract: We study the geometry of token representations at the prompt level in large language models through the lens of intrinsic dimension. Viewing transformers as…
SPD Matrix Learning for Neuroimaging Analysis: Perspectives, Methods, and Challenges
arXiv:2504.18882v3 Announce Type: replace Abstract: Neuroimaging provides essential tools for characterizing brain activity, structure, and connectivity through modalities that capture complementary aspects of brain…
AutoOR: Scalably Post-training LLMs to Autoformulate Operations Research Problems
arXiv:2604.16804v4 Announce Type: replace Abstract: Optimization problems are central to decision-making in manufacturing, logistics, scheduling, and other industrial settings. Translating complicated descriptions of…
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