A Global View of How LLMs Value Human Time
Large language models (LLMs) increasingly act as personal assistants; however, little is known about how they capture…
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Research & Science
Papers, breakthroughs and what the labs found this week.
615 stories · Every headline links to the original publisher. HapnGo curates and groups; we do not copy articles.
Towards Safe Autonomy for Computer Use
The safety of LLM-based agents currently rests on alignment training and safety classifiers, neither of which can rule out that a…
How Low Can You Go: Fine-Tuning LLMs with Bayesian Optimization (LlMBO)
Recently, Morris et al. introduced TinyLoRA, a strategy for LLM fine-tuning which introduces arbitrarily few parameters, and…
EgoOmniWorld: Unifying Egocentric Understanding via Ego-Action-World Interactions
Egocentric video understanding spans diverse capabilities, modalities, and evaluation formats, yet these are often studied in…
Aligning Faithfulness for Theory-Scale Autoformalization
Autoformalization (AF) requires more than compilation: formal statements must preserve the meaning of their informal sources, a…
Judges Follow the Reference: The Derivation Gap in Verifying Tool-Call Arguments
Tool-call judges evaluate argument values proposed by LLM agents. We find that they accept a correct value less often when their…
Steering the Fidelity in State Preparation on Noisy Bosonic Systems with Risk-Seeking Optimization
In order to execute quantum algorithms on bosonic quantum computers, it is necessary to encode their inputs into a desired target…
Recalibrating Many Questions with Few Labels: Minimax Rates and Identification Limits
Many related prediction problems, which we call questions, come with few labels each. What information can be shared across them…
Western mathematicians fear AI makes them dumber while China builds an entire alliance for it
While 25 Fields Medal winners in the West warn against AI-generated proofs and parts of the community call for a boycott, China…
Open models have real benefits. Do they outweigh the risks?
MIT Technology Review Explains: Let our writers untangle the complex, messy world of science and technology to help you…
Leading Chinese mathematicians unite behind use of AI in research
It will bring together eight leading institutions and aims to create a network of more than 1,000 scientists.
IMF warns global economy ‘could soon test the limits of resilience’
World Economic Outlook says states’ oil stocks are low and budgets are overstretched, as it upgrades UK GDP growth forecast for…
Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings
For most languages of the world, language model pre-training operates in a data-constrained regime where models must repeat their…
Mitigating Black-Box Score-Based Query Attacks via Gradient Confusion
Score-based black-box adversarial attacks pose a serious threat to deployed machine learning systems by exploiting repeated model…
Robustly Reliable Learning for Regression
We introduce the problem of robustly reliable learning for the regression setting in adversarial environments. Given a test point…
HarnessTTT: Learn to Optimize Harness at Test-Time for Scientific Discovery
Scientific discovery with language models requires finding the best valid solution within a finite computational budget. We study…
Can we change an AI model’s architecture without retraining it from scratch?
“Priming” reuses pretrained Transformer weights to build models with more efficient architectures at less than 1% of the original…
Simulating student learning for better AI tutoring
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models…
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