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Counterfactual Debiasing for Fact Verification - OpenReview 016 namely CLEVER, which is augmentation-free 017 and mitigates biases on the inference stage 018 Specifically, we train a claim-evidence fusion 019 model and a claim-only model independently 020 Then, we obtain the final prediction via sub-021 tracting output of the claim-only model from 022 output of the claim-evidence fusion model,
Autocompletion of Code from Keywords | OpenReview Abstract: We present a simple approach for synthesizing code from keywords Our system takes keywords, a subset of tokens from the target code, and generates a line of code
The Predictron: End-To-End Learning and Planning - OpenReview One of the key challenges of artificial intelligence is to learn models that are effective in the context of planning In this document we introduce the predictron architecture The predictron
Reconstructive Visual Instruction Tuning - OpenReview This paper introduces reconstructive visual instruction tuning (ROSS), a family of Large Multimodal Models (LMMs) that exploit vision-centric supervision signals
Thieves on Sesame Street! Model Extraction of BERT-based APIs Finally, we study two defense strategies against model extraction—membership classification and API watermarking—which while successful against some adversaries can also be circumvented by more clever ones