Skip to content

Category

natural language processing

9,568 papers

#natural language process... Open access Aug 2026

Are Moral Facts Real or Constructed? Novel Theoretical Frameworks for Understanding Moral Ontology

The question of whether moral facts are real or constructed has dominated metaethical discourse for centuries, with traditional positions including moral realism, anti-realism, and constructivism offering competing accounts of moral ontology. This paper introduces four novel theoretical frameworks that transcend tradit...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Jul 2026

Beyond Participatory Explanation: Ontological Reflexivity Theory as a Resolution to the Consciousness Emergence Problem

David Cota’s evaluation of the author’s “participatory explanation” approach to consciousness reveals fundamental conceptual problems that plague contemporary consciousness studies. Cota identifies a critical conflation between reason as a symbolic-operational function, and consciousness as a phenomenal-experiential fi...

Kwan Hong TAN · 0 citations
#artificial intelligence Open access Jul 2026

Beyond Participatory Explanation: Ontological Reflexivity Theory as a Resolution to the Consciousness Emergence Problem

David Cota’s evaluation of the author’s “participatory explanation” approach to consciousness reveals fundamental conceptual problems that plague contemporary consciousness studies. Cota identifies a critical conflation between reason as a symbolic-operational function, and consciousness as a phenomenal-experiential fi...

Kwan Hong TAN · 0 citations
#natural language process... Preprint Sep 2026

Video2Skill: From Streaming Experience to Reusable Embodied Skills

This work introduces Video2Skill, a benchmark that covers robot tabletop manipulation and human kitchen activity and tests three core capabilities: locating manipulation events in time, grouping events of the same transformation, and deciding when to reuse an existing skill or create a new one.

Jian-Shu Zhang, Ce Zhang, Xi-Yuan Yang et al. · 0 citations
#natural language process... Preprint Sep 2026

When Updating Stops Being Learning: Rethinking LLM Self-Evolution via learnable information gain

A holistic framework based on learnable information gain, which measures how much novel, parameterizable information a round provides relative to the previous round, and proposes ATRI (Adaptive Training Regulation via Information-gain), which reweights samples within a round and halts training across rounds when inform...

Chen-Xu Wang, Chao-Zhuo Li, Xin-Ze Shi et al. · 0 citations

Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models

CaRE-KD is proposed, a confidence-gated distillation framework that replaces static objectives with uncertainty-adaptive optimization and provides a gradient-level analysis showing how this dual-granularity design induces a conditional calibration mechanism that prior static divergences cannot reproduce.

Ayan Sengupta, Vaibhav Seth, Tanmoy Chakraborty · 0 citations
#machine learning Preprint Sep 2026

Invariant Atoms: Sparse Coordinates of Local Semantic Geometry in Language Model Representations

This work learns a shared semantic frame and sparse coordinates that reconstruct semantic displacements while suppressing nuisance variation, with anchor-dependent diagonal modulation adjusting atom strengths without sample-specific rotations to support reusable invariant directions as a sparse coordinate system for lo...

Muhammad Ahtesham, Xin Zhong · 0 citations

CorrGRPO: Correlation-Normalized GRPO for Multi-Reward Learning

Group Relative Policy Optimization (GRPO) is widely used to train reasoning language models, where it computes advantages by centering and normalizing rewards across rollouts of the same prompt. For multiple rewards, GRPO sums the reward components and normalizes the total reward by its within-group standard deviation....

Wen-Bin Hu, Hui-Hao Jing, Hao-Chen Shi et al. · 1 citation
#machine learning Book Open access Sep 2026

Multimodal Detection of Higher-Order Behavioral Constructs: Self-Compassion in Structured Reflective Interactions

Many of the qualities that matter most in how people learn and grow, how someone regulates their emotions, reflects on a setback, or stays aware of others during a difficult conversation, are not directly observable. They have to be inferred from how someone speaks, moves, and sounds over time, and they resist the kind...

Siddhant Jain, Dimitra Tsovaltzi · 0 citations

From tech blogs

See all →
Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

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 use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.