atlas

Research map / Large language models / Language, safety and interpretability

Enhancing Natural Language Inference Using New and Expanded Training Data Sets and New Learning Models

AAAI 2020 · Large language models › Language, safety and interpretability · approach: Faithfulness of LLM explanations · 9 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
add NER-CHANGED data to SNLI trainingESIM · NER-CHANGED testtest accuracy (%): 56.11 -> 69.77Helped
add NER-CHANGED data to SNLI trainingDecAtt · NER-CHANGED testtest accuracy (%): 33.80 -> 82.91Helped
add ROLE-SWITCHED data to SNLI trainingESIM · ROLE-SWITCHED testtest accuracy (%): 50.46 -> 93.72Helped
add ROLE-SWITCHED data to SNLI trainingBERT · ROLE-SWITCHED testtest accuracy (%): 49.74 -> 49.78No clear effect
add symbolic-similarity lambda attentionESIM · NER-CHANGED test (SNLI+NC train)test accuracy (%): 69.77 -> 99.13Helped
add symbolic-similarity lambda attentionDecAtt · NER-CHANGED test (SNLI+NC train)test accuracy (%): 82.91 -> 97.81Helped
add symbolic-similarity lambda attentionESIM · SNLI test (SNLI+NC train)test accuracy (%): 85.09 -> 87.10Helped
add symbolic-similarity lambda attentionDecAtt · SNLI test (SNLI+NC train)test accuracy (%): 83.50 -> 82.94No clear effect
add symbolic-similarity lambda attentionESIM · ROLE-SWITCHED test (SNLI+RS+NC train)test accuracy (%): 84.45 -> 87.92Mixed
add symbolic-similarity lambda attentionDecAtt · ROLE-SWITCHED test (SNLI+RS+NC train)test accuracy (%): 50.11 -> 50.08No clear effect
add symbolic-similarity lambda attentionESIM · NER-CHANGED test (SNLI only train)test accuracy (%): 56.11 -> 53.95No clear effect
add symbolic-similarity lambda attentionESIM · NER-CHANGED test (MNLI+NC train)test accuracy (%): 75.58 -> 95.12Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy