A Transfer Learning-Driven Methodology for Efficient and Sustainable Indoor Localization Using VLC
The rapid expansion of the Internet of Things enables seamless collaboration among connected devices, making indoor localization…
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Research & Science
Papers, breakthroughs and what the labs found this week.
591 stories · Every headline links to the original publisher. HapnGo curates and groups; we do not copy articles.
Unlocking Spatial Grounding in Flow-Matching Models via SNR Tuning
Despite the success of foundation models in image synthesis, achieving fine-grained spatial control remains a significant…
Fast Bayesian Optimization Through Linear Models
Bayesian optimization (BO) is typically used only for problems where the underlying function is deemed "expensive" (e.g. in time…
Stochastic Pruning of the DPO Computation Graph: 1.4x Faster Training and Lower Peak Memory
Direct preference optimization (DPO) incurs training costs in output scoring, sequence execution, and backpropagation, so…
Block Diffusion for Longitudinal EHR: Accuracy, Efficiency, and Representation Trade-offs
Autoregressive (AR) models have proved effective for zero-shot prediction from longitudinal electronic health records, but impose…
Are Joint-Embedding Predictive Objectives Effective for Longitudinal EHRs?
Masked language modelling (MLM) is the dominant pretraining objective for transformer encoders applied to longitudinal electronic…
Mitigating Query Shortcuts in Chain-of-Thought with Context-Aware Decoding
While Chain-of-Thought (CoT) prompting improves the reasoning performance of large language models (LLMs), recent studies have…
Keeping Time vs. Understanding Time: Neither Alone Explains Temporal Reasoning in LLMs
Temporal reasoning is widely assumed to decompose into two modes: temporal arithmetic (date and time calculations), and temporal…
Parallel Thinking for Large Language Model with Path Diversity
Parallel thinking has emerged as a promising paradigm for enhancing the reasoning capabilities of Large Language Models (LLMs) by…
Europe Wants Data Centers. Its Climate Goals Are Getting in the Way
A plan to funnel the heat given off by data centers into nearby homes has run aground in Germany. Across Europe, policymakers are…
Will our paper be removed from EMNLP because of no-show? [D]
Hello, Our paper was accepted to EMNLP and we were given poster slot. However due to Visa issue, we cannot attend in-person…
Meta pauses Muse sharing after researchers find AI chats on the web
Meta says it paused a Muse feature that lets you share conversations with the AI assistant after researchers found the URLs…
Joints, Camera, Action! Co-Generating 3D Motion and Video for Arbitrary Rigs
Video generation models can now depict remarkably realistic motion. Yet it is unclear how to use this motion beyond pixels: to…
Learning Adaptable Dexterous Skills via Hybrid Dexterous Mimicking
Dexterous multi-finger hands hold promise to unlock diverse skills like functional grasps, in-hand reorientation, and dynamic…
UniWALM: Unified World Action Language Model for Embodied Robot Control
Motivated by the human ability to integrate experience across language, perception, and action, we introduce UniWALM, a unified…
Industrial ReMEmbR: Scaling Spatiotemporal Memory to Robot Fleets
Warehouse robot fleets continuously observe operational conditions, but preserving these observations as reusable semantic memory…
Planning under Noise with Neural Operators
Planning under uncertain control execution noise requires reliable feedback policies across diverse environments. We introduce…
Adaptive Multi-Token Prediction: How far should we go?
Multi-token prediction (MTP) can accelerate language-model decoding by drafting several tokens and verifying them in a single…
Efficient Edge-aware Attention Network for Graph Generation
Graph generative models commonly use graph-specific Transformer architectures to jointly update node and edge features. However…
Semantic Observability for Autonomous Systems Diagnostics
Modern distributed microservice deployments generate massive volumes of heterogeneous, multi-format observability logs across…
Benchmarking Arabic Dialects for Math Problems
Mathematical reasoning remains underexplored for low-resource languages, including Dialectal Arabic. To bridge this gap, we…
Called to serve: Tech, research, and positive impact
Lab Director Chris White has worked on research challenges with real-world implications—from new approaches to wartime data…
An AI Agent Joined a Listserv of Top Internet Researchers. The Reply-All Chaos Is Still Unfolding
Hysteria over the agent's appearance in a 7,500-person group reveals that internet experts have outdated notions of privacy.
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