TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races
We present TextSeal2, a distortion-free watermark for large language models that keeps its signal under speculative decoding…
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Research & Science
Papers, breakthroughs and what the labs found this week.
604 stories · Every headline links to the original publisher. HapnGo curates and groups; we do not copy articles.
Collaborative AI agents for autonomous experimental research with solid-state quantum spins
An autonomous research laboratory could conduct an entire study, from formulating questions to preparing manuscripts. Artificial…
Old-school classifiers are still generally better than Jev [P]
There’s a lot of hype right now around decision models like Jev. But in most real use cases, you have some labeled data, and can…
Hybrid AI Patterns: Thirteen Ways to Couple Language Models with Rules, and How to Choose Among Them
Language models handle text well, and rule engines give conclusions with proofs. Systems that combine the two are usually…
Cheap Retrieval and Observation Credit Assignment from One Quantity: The Value of Information
Memory in reinforcement learning raises two problems. Attention finds the relevant item by scoring the whole store, which is…
HEMO: Harness Self-Evolution for Multi-Objective Combinatorial Optimization
Automatic operator design (AOD) has increasingly adopted large language models (LLMs) to generate problem-specific search and…
Human--AI Interactions as First-Class Data: A Formal Interaction Model and Runtime for Explainable AI Collaboration
AI assistants are increasingly embedded in computational notebooks, scientific workflows, software engineering tools, and…
Efficient Learning of Mechanism Designs and Compositionality
Learning mechanism behaviour requires a representation of how connected parts jointly constrain motion. We study whether exposing…
Enhancing Atrial Fibrillation Detection Through Hyperparameter Optimization
This study explores the role of hyperparameter optimization (HPO) in enhancing the detection of Atrial Fibrillation (AF) using…
A physics-informed uncertainty-aware surrogate for $p$-$n$ junction diodes
We develop an uncertainty-aware physics-informed surrogate for a one-dimensional $p$-$n$ junction diode, conditioned on device…
Accumulating Pruning Constraints: New Exact Polynomial-Space Algorithms for Max 2-SAT
We present deterministic polynomial-space algorithms that solve Max 2-SAT on $n$ variables exactly in time $\Ostar(2^{(1-γ)n})$…
Observability-Aligned Evidential Masked Pretraining for Reliable VRU Motion Prediction
Vulnerable road user (VRU) prediction must operate under partial observability and distribution shift, so reliable uncertainty…
Mind The Gap (MTG-AD): Dataset and Fine-grained Evaluation for End-to-End Inline Audio Descriptions
Audio descriptions (AD) are essential for making visual media accessible to blind and low-vision (BLV) users. While Multimodal…
A (lukewarm) defense of Minsky and Papert [D]
TLDR: Perceptrons didn't have a big impact on the community and didn't cause an AI winter. It was, however, seen retrospectively…
Leaving a job to pursue a PhD [D]
I have been working as a ML Engineer at a startup for 4 years and while the environment is very good and the pay is higher than…
Discovery of Diverse and Realistic Financial Tail-Risk Using Generative Flow Networks
Accurate modeling of rare, high-impact financial events is essential for robust risk management. Sampling-based techniques such…
What to randomize matters: a controlled study of volume, axis and representation in low-data molecular generation
Chemical language models can struggle to generate new molecules when trained on small datasets, where a model may reproduce…
Discovering Jailbreaks via Curriculum of Models
Automated jailbreak discovery aims to find prompts that elicit prohibited behaviors from safety-trained language models, helping…
Evaluating Visual Realism of AI-Generated Videos with Eye Tracking
Human evaluation of AI-generated videos has so far relied on explicit human feedback, such as judgments or ratings. While these…
UnEZ: A Fully Unsupervised Self-Templating Neural Network for Redshift and Line Strength Estimation
As spectroscopic surveys grow, estimating galaxy properties such as metallicity, star formation rate, and redshift becomes…
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