Category
9,049 papers
The results demonstrate that multilevel evaluation improves the reliability that the proposed framework effectively balances performance and efficiency, which makes the framework suitable for practical hate speech moderation systems that require accurate, generalizable, and explainable decisions.
Overall, trajectory supervision improves action prediction and evidence-recording behaviour in this evaluated pipeline.
Post hoc explanation methods such as SHAP and LIME are widely used to interpret text classifiers, but their visualizations are mainly designed for left-to-right languages. When applied to right-to-left (RTL) languages such as Urdu, Arabic, Persian, and Hebrew, the attribution values remain mathematically valid, while t...
ExplorationBench turns the wicked problem of evaluating scientific exploration into a concrete and tractable framework built on verifiable Alien Worlds, and finds that the strongest systems can acquire and apply unfamiliar rules, while performance varies substantially across trajectories and continued exploration can s...
Reach audiences
Advertise in front of researchers, engineers, and readers.
Empirical evaluations show that GRASP consistently establishes a new state-of-the-art frontier across diverse datasets, yielding substantial accuracy gains over direct LLM planners on Natural Plan Calendar Scheduling, ZebraLogic, and SciBench Math.
Simulation made broad exploration of models, reasoning settings, and prompts feasible without customer exposure, enabling production improvements that would have been impractical to pursue through live experimentation alone.
PrivDrift is introduced, a benchmark for auditing whether user-disclosed secrets remain recoverable after conversational topic drift and persuasion-based probing, suggesting that privacy risk in active LLM contexts should be evaluated as a persistent behavioral failure mode rather than only as training-data memorizatio...
Self-Play Pretraining with Zero Data is introduced, an initial proof-of-concept towards realizing a more general approach to pretraining, and whether zero-shot performance on natural data improves predictably with self-play compute is tested.
If a language model can recognize code it wrote, it may favor that code as a judge, and instances of one model monitoring each other could collude, and instances of one model monitoring each other could collude.
This work assembles Gold-50, fifty real product and policy episodes whose real-world outcome is known, adjudicated against the public record, and scores the five-way release verdict against it, finding most of the measured gap between frontier cloud models and open-weight models fine-tune and serve offline is attributa...
PUBG Ally is introduced, an embodied agent for PUBG: BATTLEGROUNDS that can reason, act autonomously, and play alongside players as a voice-enabled teammate that combines agentic tool use with real-time game control.
This work constructs a large-scale dataset from over 100K computer science papers, and trains a goal-conditioned reward model to predict citation-impact labels from research goal and idea pairs, and uses this reward to align an idea generator through supervised fine-tuning followed by reinforcement learning.
A Blog post by Ai2 on Hugging Face
A Blog post by IBM Research on Hugging Face
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
