Papers Mistake Detection
“Mistake Detection” 태그가 달린 논문 14편 · 필터 해제
AUTOMATIC PRONUNCIATION MISTAKE DETECTOR PROJECT REPORT
Given the drawbacks of traditional English pronunciation correction systems, such as failure to provide timely feedback and correct learners' pronunciation errors, slow improvement of learners' English proficiency, and e…
Mistake Detectionspeech-recognitionSpeech RecognitionImproving Child Speech Recognition and Reading Mistake Detection by Using Prompts
Automatic reading aloud evaluation can provide valuable support to teachers by enabling more efficient scoring of reading exercises. However, research on reading evaluation systems and applications remains limited. We pr…
Mistake Detectionspeech-recognitionSpeech RecognitionTask Graph Maximum Likelihood Estimation for Procedural Activity Understanding in Egocentric Videos
We introduce a gradient-based approach for learning task graphs from procedural activities, improving over hand-crafted methods. Our method directly optimizes edge weights via maximum likelihood, enabling integration int…
Graph LearningMistake DetectionOnline Mistake DetectionTask Graph Learning+1Explainable Procedural Mistake Detection
Automated task guidance has recently attracted attention from the AI research community. Procedural mistake detection (PMD) is a challenging sub-problem of classifying whether a human user (observed through egocentric vi…
Mistake DetectionNatural Language InferenceTI-PREGO: Chain of Thought and In-Context Learning for Online Mistake Detection in PRocedural EGOcentric Videos
Identifying procedural errors online from egocentric videos is a critical yet challenging task across various domains, including manufacturing, healthcare, and skill-based training. The nature of such mistakes is inheren…
In-Context LearningMistake DetectionOnline Mistake DetectionEgoOops: A Dataset for Mistake Action Detection from Egocentric Videos with Procedural Texts
Mistake action detection from egocentric videos is crucial for developing intelligent archives that detect workers' errors and provide feedback. Previous studies have been limited to specific domains, focused on detectin…
Action DetectionMistake DetectionExposing the Achilles' Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
Large Language Models (LLMs) have been applied to Math Word Problems (MWPs) with transformative impacts, revolutionizing how these complex problems are approached and solved in various domains including educational setti…
BenchmarkingMathMathematical Problem-SolvingMathematical Reasoning+2Gazing Into Missteps: Leveraging Eye-Gaze for Unsupervised Mistake Detection in Egocentric Videos of Skilled Human Activities
We address the challenge of unsupervised mistake detection in egocentric video of skilled human activities through the analysis of gaze signals. While traditional methods rely on manually labeled mistakes, our approach d…
Gaze PredictionMistake DetectionDifferentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
Procedural activities are sequences of key-steps aimed at achieving specific goals. They are crucial to build intelligent agents able to assist users effectively. In this context, task graphs have emerged as a human-unde…
Mistake DetectionOnline Mistake DetectionTask Graph LearningVideo UnderstandingLLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
Self-correction is emerging as a promising approach to mitigate the issue of hallucination in Large Language Models (LLMs). To facilitate effective self-correction, recent research has proposed mistake detection as its i…
HallucinationMathMathematical ReasoningMistake DetectionPREGO: online mistake detection in PRocedural EGOcentric videos
Promptly identifying procedural errors from egocentric videos in an online setting is highly challenging and valuable for detecting mistakes as soon as they happen. This capability has a wide range of applications across…
Action RecognitionBenchmarkingMistake DetectionOne-Class Classification+1HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World
Building an interactive AI assistant that can perceive, reason, and collaborate with humans in the real world has been a long-standing pursuit in the AI community. This work is part of a broader research effort to develo…
Mistake DetectionMixed RealityType predictionAssembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities
Assembly101 is a new procedural activity dataset featuring 4321 videos of people assembling and disassembling 101 "take-apart" toy vehicles. Participants work without fixed instructions, and the sequences feature rich an…
3D Action RecognitionAction AnticipationAction RecognitionAction Segmentation+1Lexical Normalization of User-Generated Medical Text
In the medical domain, user-generated social media text is increasingly used as a valuable complementary knowledge source to scientific medical literature. The extraction of this knowledge is complicated by colloquial la…
Lexical NormalizationMistake DetectionSpelling Correction