AI Paper Atlas

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

Beyond Exchangeability: The Chinese Voting Process

NeurIPS 2016 · Large language models › Language, safety and interpretability · approach: Bias measurement and mitigation · 1 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
Replace CRP vote-count selection with CVP display-rank selectionCVP selection phase · StackExchange and Amazon, first 50 actions (average)selection negative log-likelihood: 2.050 -> 1.945Helped
Add intrinsic response quality q (ablation)CVP voting model · StackExchange and Amazon, first 50 actions (average)voting negative log-likelihood: .103 -> .095Helped
Add opinion-ratio feature lambda (ablation)CVP voting model · StackExchange and Amazon, first 50 actions (average)voting negative log-likelihood: .109 -> .095Helped
Add item-specific length bias nu_i (ablation)CVP voting model · StackExchange and Amazon, first 50 actions (average)voting negative log-likelihood: .099 -> .095Helped
Add lambda and nu_i to q (ablation)CVP voting model · StackExchange and Amazon, first 50 actions (average)voting negative log-likelihood: .109 -> .095Helped
Add lambda to q and nu_i (ablation)CVP voting model · StackExchange and Amazon, first 50 actions (average)voting negative log-likelihood: .105 -> .095Helped
Add q and nu_i to lambda (ablation)CVP voting model · StackExchange and Amazon, first 50 actions (average)voting negative log-likelihood: .103 -> .095Helped
Add q to lambda and nu_i (ablation)CVP voting model · StackExchange and Amazon, first 50 actions (average)voting negative log-likelihood: .098 -> .095Helped
Rank responses by inferred intrinsic quality rather than display rankCVP quality analysis · StackExchange and Amazon, final snapshot (average)residual against comment sentiment: .011 -> .006Helped
Rank responses by inferred intrinsic quality rather than display rankCVP quality analysis · StackExchange and Amazon, final snapshot (average)bumpiness against comment sentiment: .186 -> .101Helped

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