A SURVEY ON CONCEPT-BASED APPROACHES FOR MODEL IMPROVEMENT
Dec 31, 2023 Explanations in terms of concepts enable detecting spurious correlations, inherent biases, or clever-hans. With the advent of concept-based explanations, a range of concept representation methods and automatic concept discovery algorithms have been introduced. From bing.com
Dec 31, 2023 More than 40 years ago, Schroeppel and Shamir presented an algorithm that solves the Subset Sum problem for n integers in time O^* (2^ {0.5n}) and space O^* (2^ {0.25n}). The time upper bound remains unbeaten, but the space upper bound has been improved to O^* (2^ {0.249999n}) in a recent breakthrough paper by Nederlof and Węgrzycki (STOC 2021). … From bing.com
INITIALIZATION USING UPDATE APPROXIMATION IS A SILVER BULLET FOR...
Mar 5, 2025 TL;DR: We provably optimally approximate full fine-tuning in low-rank subspaces throughout the entire training process using a clever initialization scheme, achieving significant gains in parameter efficiency. From bing.com
UNMASKING DEMENTIA DETECTION BY MASKING INPUT GRADIENTS: A …
Dec 31, 2023 The evolution of deep learning and artificial intelligence has significantly reshaped technological landscapes. However, their effective application in crucial sectors such as medicine demands more than just superior performance, but trustworthiness as well. While interpretability plays a pivotal role, existing explainable AI (XAI) approaches often do not reveal Clever Hans … From bing.com
MULTIMODAL COMPOSITION EXAMPLE MINING FOR COMPOSED QUERY …
Dec 31, 2023 Most of the existing methods start from the perspective of model structure and design some clever interactive modules to promote the better fusion and embedding of different modalities. From bing.com
579 In this paper, we have proposed a novel counter- factual framework CLEVER for debiasing fact- checking models. Unlike existing works, CLEVER is augmentation-free and mitigates biases on infer- ence stage. In CLEVER, the claim-evidence fusion model and the claim-only model are independently trained to capture the corresponding information. From bing.com
Jan 22, 2025 Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers Lorenzo Pacchiardi, Marko Tesic, Lucy G Cheke, Jose Hernandez-Orallo 27 Sept 2024 (modified: 05 Feb 2025) Submitted to ICLR 2025 Readers: Everyone From bing.com
CLEVER: A CURATED BENCHMARK FOR FORMALLY VERIFIED CODE …
We introduce CLEVER, the first curated benchmark for evaluating the generation of specifications and formally verified code in Lean. The benchmark comprises of 161 programming problems; it evaluates both formal speci-fication generation and implementation synthesis from natural language, requiring formal correctness proofs for both. From bing.com
EVALUATING THE ROBUSTNESS OF NEURAL NETWORKS: AN EXTREME VALUE...
Feb 15, 2018 Our analysis yields a novel robustness metric called CLEVER, which is short for Cross Lipschitz Extreme Value for nEtwork Robustness. The proposed CLEVER score is attack-agnostic and is computationally feasible for large neural networks. From bing.com
STAIR: IMPROVING SAFETY ALIGNMENT WITH INTROSPECTIVE REASONING
May 1, 2025 One common approach is training models to refuse unsafe queries, but this strategy can be vulnerable to clever prompts, often referred to as jailbreak attacks, which can trick the AI into providing harmful responses. Our method, STAIR (SafeTy Alignment with Introspective Reasoning), guides models to think more carefully before responding. From bing.com
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