mlsanityData to 7 Oct 2026

Human-machine cooperation for semantic feature listing

arXiv 2304.05012 ↗First posted 11 Apr 2023cs.CL cs.AIcited by 2

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Abstract (arXiv)

Semantic feature norms, lists of features that concepts do and do not possess, have played a central role in characterizing human conceptual knowledge, but require extensive human labor. Large language models (LLMs) offer a novel avenue for the automatic generation of such feature lists, but are prone to significant error. Here, we present a new method for combining a learned model of human lexical-semantics from limited data with LLM-generated data to efficiently generate high-quality feature norms.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 7 of its 11 references that are in the map. First posted on arXiv 11 Apr 2023.

Builds on

7 of 11 references.

References · 7

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2022Training language models to follow instructions with human feedbackcited by 15,712
  3. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
  4. 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,747
  5. 2022Training Compute-Optimal Large Language Modelscited by 2,927
  6. 2019HuggingFace's Transformers: State-of-the-art Natural Language Processingcited by 2,201
  7. 2022Semantic features of object concepts generated with GPT-3cited by 12

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Cited by year

Citing papers per year: 2025: 2.

2 papers.

  1. 2025AI-enhanced semantic feature norms for 786 conceptscited by 2
  2. 2025Uncovering the Computational Ingredients of Human-Like Representations in LLMscited by 1

Similar, not cited

Close in wording, no citation either way

  1. 2025Psycholinguistic Word Features: a New Approach for the Evaluation of LLMs Alignment with Humans
  2. 2025Adding LLMs to the psycholinguistic norming toolbox: A practical guide to getting the most out of human ratings
  3. 2023Concept-Oriented Deep Learning with Large Language Models
  4. 2022On Reality and the Limits of Language Data: Aligning LLMs with Human Norms
  5. 2025Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding
  6. 2023Aligning Large Language Models with Human: A Survey
  7. 2024Bridging the Gap between Different Vocabularies for LLM Ensemble
  8. 2024Can large language models understand uncommon meanings of common words?