Search Results
Dec 19, 2019 · Abstract: The ability to reason about temporal and causal events from videos lies at the core of human intelligence. Most video reasoning benchmarks, however, focus on pattern recognition from complex visual and language input, instead of on causal structure. We study the complementary problem, exploring the temporal and causal structures ...
Sep 16, 2022 · First, there is a lack of diversity in both event types and natural language descriptions; second, causal relationships based on manually-defined heuristics are different from human judgments. To address both shortcomings, we present the CLEVRER-Humans benchmark, a video reasoning dataset for causal judgment of physical events with human labels.
Feb 15, 2018 · In this paper, we provide theoretical justification for converting robustness analysis into a local Lipschitz constant estimation problem, and propose to use the Extreme Value Theory for efficient evaluation. Our analysis yields a novel robustness metric called CLEVER, which is short for Cross Lipschitz Extreme Value for nEtwork Robustness.
mous driving systems and malware detection protocols, among others.In the literature, studying adversarial examples of neural networks has twofold purposes: (i) se-curity implications: devising effective attack algorithms for crafting adversarial examples, and (ii) robustness analysis: evaluating the intrins.
But Clever Hans cheats arise only upon teacher-forcing as they are correlations between the prefixes of the answer itself to the rest of the answer. Second, the above shortcuts only fail out-of-distribution (such as when the number of multiplied digits is increased, where the failure is in length generalization (Anil et al., 2022)).
563 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.
e has been developed towards a comprehensive measure of robustness. In this paper, we provide theoretical justifi-cation for converting robustness analysis into a local Lipschitz constant estimation problem, a. d propose to use the Extreme Value Theory for efficient evaluation. Our analysis yields a novel robustness metric called CLEVER, whic.
Such evaluations are notorious for their Clever Hans effect [1] with the actual planning being done by the humans in the loop rather than the LLMs themselves. We thus separate our evaluation into two modes–autonomous and as assistants to external planners/reasoners.
Seaclan is clever, wise and smart in terms of skills. They live by a open sea (real life - the Baltic Sea) and are known for their ability to swim and dive. Th
Feb 5, 2017 · 4- A cat has been injured. Give them goldenrod to prevent infection. (use one of the mates as the cat) 5- A cat has a deep wound. Give them horsetail to cure them. (use one of the mates as the cat) 6- A cat has broken a bone. Give them comfrey to cure them. (use one of the mates as the cat) :The Path to Being a Warrior/Medicine Cat: Your goal ...
