Christopher D. Manning

Stanford University

Public scientific profile · Unclaimed

Built from public scholarly sources. Expertise is inferred by ScienceWe from publications and has not been confirmed by the scientist.

Top expertise

  • Natural Language Processing Techniques

    Strong evidence · 2 supporting papers · latest 2025

  • Topic Modeling

    Strong evidence · 1 supporting paper · latest 2025

  • Biomedical Text Mining and Ontologies

    Strong evidence · 1 supporting paper · latest 2025

  • EEG and Brain-Computer Interfaces

    Strong evidence · 1 supporting paper · latest 2026

  • CAR-T cell therapy research

    Solid evidence · 1 supporting paper · latest 2025

  • Semantic Web and Ontologies

    Solid evidence · 1 supporting paper · latest 2025

  • Speech Recognition and Synthesis

    Solid evidence · 2 supporting papers · latest 2025

  • Biosimilars and Bioanalytical Methods

    Solid evidence · 1 supporting paper · latest 2025

Publications (15)

  • Quantifying large language model usage in scientific papers

    2025DOIPMID 40760036

  • Universal Dependencies

    2025DOI

  • High-performance and robust intracortical brain-computer interfaces for restoring communication

    2026DOI

  • CAR binding efficacy and off-target interactions for common CAR detection reagents

    2025DOIPMID 40885464

  • Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity

    2025DOI

  • Transcribe, Translate, or Transliterate: An Investigation of Intermediate Representations in Spoken Language Models

    2025DOI

  • Transcribe, Translate, or Transliterate: An Investigation of Intermediate Representations in Spoken Language Models

    2025DOI

  • Natural Language Processing: How NSF Supports Visionary New Approaches to NLP

    2026DOI

  • Mechanistic interpretability and control for language models

    2026DOI

  • SecureForge: Finding and Preventing Vulnerabilities in LLM-Generated Code via Prompt Optimization

    2026DOI

  • There is no free benchmark: An institutional view of legal AI benchmarking

    2026DOIPMID 42475582

  • At the boundary: Law and AI

    2026DOIPMID 42475564

  • Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces

    2026DOI

  • WebDS: An End-to-End Benchmark for Web-based Data Science

    2025DOI

  • Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space

    2025DOI

Organizations in sourced records

Affiliation evidence only — not confirmed current employment.

  • Stanford University

Source: OpenAlex · retrieved 2026-09-29

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