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Исследования

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arXiv cs.LG Atom FeedИсследования

PEFT-Arena: Understanding Parameter-Efficient Finetuning from a Stability-Plasticity Perspective

Parameter-efficient finetuning (PEFT) has become the standard approach for adapting large language models, yet evaluations largely emphasize downstream accuracy while overlooking the retention of pretrained capabilities. We argue that PEFT should be assessed through the stability-plasticity dilemma: the trade-off between target-task adaptation and resistance…

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arXiv cs.CL Atom FeedИсследования

VLMs May Not Globally Enhance Human Alignment over LLMs During Natural Reading

Large language models (LLMs) have become increasingly useful computational models of human language processing, but it remains unclear whether vision-language learning makes text representations more human-like during natural reading. Here, we address this question by comparing tightly matched LLM and vision-language model (VLM) pairs under a strictly…

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arXiv cs.AI Atom FeedИсследования

Beyond Binary: Sim-to-Real Dexterous Manipulation with Physics-Grounded Contact Representation

A primary bottleneck in contact-rich manipulation is the difficulty of collecting real-world data. Sim-to-real reinforcement learning offers a scalable alternative, but the simulation-reality gap prevents information-dense modalities like touch from being effectively used. Existing sim-to-real methods often mitigate this gap by simplifying tactile data into…

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Google Research BlogИсследования

Private analytics via zero-trust aggregation

Security, Privacy and Abuse Prevention

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Microsoft Research AIИсследования

Extending Human Intelligence Through AI

Understanding AI as an extension of human intelligence—not a replacement for it—offers a more grounded path for building trustworthy AI systems. The post Extending Human Intelligence Through AI appeared first on Microsoft Research .

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Google DeepMind NewsИсследования

We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks

We’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks

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arXiv cs.LG Atom FeedИсследования

Affective Music Recommendation: A Rollout-Based World Model for Offline Preference Optimization

Functional music applications, from consumer focus and sleep aids to clinical interventions, share a distinctive recommendation problem: success is defined by the listener's affective state, but online experimentation on emotion is ethically constrained, particularly for clinical populations who cannot reliably skip a song or report distress. We describe…

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arXiv cs.CL Atom FeedИсследования

Self-Improving Language Models with Bidirectional Evolutionary Search

Search has been proposed as an effective method for self-improving language models and agentic systems, both for post-training sample generation and for inference. However, widely used methods such as best-of-N sampling and tree search face two fundamental limitations: they are guided by sparse verification signals, and they construct candidates primarily…

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arXiv cs.AI Atom FeedИсследования

Calibrating Conservatism for Scalable Oversight

Agentic AI systems capable of autonomous planning and extended environmental interaction pose a fundamental control problem: how can humans maintain meaningful oversight of systems that may exceed their own capabilities? Existing approaches to scalable oversight rely on complex assumptions, remain largely heuristic, or lack practical methods for sequential…

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Google Research BlogИсследования

Empirical Research Assistance (ERA): From Nature publication to catalyzing Computational Discovery

General Science

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Microsoft Research AIИсследования

MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models

MagenticLite is an agentic system for small models that works across the browser and local file system in a single workflow. It combines specialized models and orchestration to support efficient agentic performance on everyday tasks. The post MagenticLite, MagenticBrain, Fara1.5: An agentic experience optimized for small models appeared first on Microsoft…

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Google DeepMind NewsИсследования

Fast-tracking genetic leads to reverse cellular aging

Biologists use Co-Scientist to find novel factors that successfully rejuvenate human cells.

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arXiv cs.LG Atom FeedИсследования

AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning

Class-Incremental Learning (CIL) is important in building real-world learning systems. In CLIP-based CIL, the model performs classification by comparing similarity between visual and textual embeddings obtained from template prompts, e.g., ``a photo of a [CLASS]''. This seemingly monolithic matching process can be decomposed into two conceptually distinct…

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arXiv cs.CL Atom FeedИсследования

Personal Visual Memory from Explicit and Implicit Evidence

Long-term memory is increasingly important for personalized AI agents, yet existing benchmarks and methods remain largely text-centric. Even when images are included, the user-specific information needed for later questions is typically recoverable from text alone, and most memory systems reduce image turns to generic captions. Yet images often carry…

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arXiv cs.AI Atom FeedИсследования

OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration

Visual outcomes are increasingly central to multimodal large language models, making reliable and fine-grained verification essential for scaling generalist foundation models. In this work, we investigate multimodal meta-verification, which leverages verifier-generated rationales rather than decision-only signals, and explore how to effectively incorporate…

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Google Research BlogИсследования

Catalyzing scientific impact through global partnerships and open resources

Data Mining & Modeling

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Microsoft Research AIИсследования

Vega: Zero-knowledge proofs for digital identity in the age of AI

Vega turns a full credential into a single proof, sharing only what is needed and nothing more, with performance that works in real apps. The post Vega: Zero-knowledge proofs for digital identity in the age of AI appeared first on Microsoft Research .

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Google DeepMind NewsИсследования

Simulate real-world places with Project Genie and Street View

We’re expanding access to Google AI Ultra subscribers globally and introducing a new capability powered by Street View.

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