Papers Physical Commonsense Reasoning
“Physical Commonsense Reasoning” 태그가 달린 논문 15편 · 필터 해제
PhysMRV: Physical Memory Retrieval and Verification for Physics Plausibility Reasoning
Video-language models (VLMs) have achieved remarkable performance on video understanding and visual question answering, yet they remain unreliable in reasoning about physical plausibility, where understanding object inte…
Physical Commonsense ReasoningVisual Question AnsweringPhysical Commonsense Reasoning for Lower-Resourced Languages and Dialects: a Study on Basque
Physical commonsense reasoning represents a fundamental capability of human intelligence, enabling individuals to understand their environment, predict future events, and navigate physical spaces. Recent years have witne…
Physical Commonsense ReasoningCulturally Grounded Physical Commonsense Reasoning in Italian and English: A Submission to the MRL 2025 Shared Task
This paper presents our submission to the MRL 2025 Shared Task on Multilingual Physical Reasoning Datasets. The objective of the shared task is to create manually-annotated evaluation data in the physical commonsense rea…
Physical Commonsense ReasoningEveryday Physics in Korean Contexts: A Culturally Grounded Physical Reasoning Benchmark
Existing physical commonsense reasoning benchmarks predominantly focus on Western contexts, overlooking cultural variations in physical problem-solving. To address this gap, we introduce EPiK (Everyday Physics in Korean …
Physical Commonsense ReasoningKo-PIQA: A Korean Physical Commonsense Reasoning Dataset with Cultural Context
Physical commonsense reasoning datasets like PIQA are predominantly English-centric and lack cultural diversity. We introduce Ko-PIQA, a Korean physical commonsense reasoning dataset that incorporates cultural context. S…
Physical Commonsense ReasoningMorpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments
Recent advances in image and video generation raise hopes that these models possess world modeling capabilities, the ability to generate realistic, physically plausible videos. This could revolutionize applications in ro…
Physical Commonsense ReasoningVideo GenerationUnforgettable Generalization in Language Models
When language models (LMs) are trained to forget (or "unlearn'') a skill, how precisely does their behavior change? We study the behavior of transformer LMs in which tasks have been forgotten via fine-tuning on randomize…
Physical Commonsense ReasoningQuestion AnsweringPhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models
Robotic grasping is a fundamental aspect of robot functionality, defining how robots interact with objects. Despite substantial progress, its generalizability to counter-intuitive or long-tailed scenarios, such as object…
ObjectPhysical Commonsense ReasoningRobotic GraspingPhysical Reasoning and Object Planning for Household Embodied Agents
In this study, we explore the sophisticated domain of task planning for robust household embodied agents, with a particular emphasis on the intricate task of selecting substitute objects. We introduce the CommonSense Obj…
2kDecision MakingObjectPhysical Commonsense Reasoning+1From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning
Pre-trained language models (PLMs) have shown impressive performance in various language tasks. However, they are prone to spurious correlations, and often generate illusory information. In real-world applications, PLMs …
In-Context LearningPhysical Commonsense ReasoningLearning the Effects of Physical Actions in a Multi-modal Environment
Large Language Models (LLMs) handle physical commonsense information inadequately. As a result of being trained in a disembodied setting, LLMs often fail to predict an action's outcome in a given environment. However, pr…
Physical Commonsense ReasoningDo ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour
Language models (LMs) trained on raw texts have no direct access to the physical world. Gordon and Van Durme (2013) point out that LMs can thus suffer from reporting bias: texts rarely report on common facts, instead foc…
Common Sense ReasoningPhysical Commonsense ReasoningProbing Language ModelsPACS: A Dataset for Physical Audiovisual CommonSense Reasoning
In order for AI to be safely deployed in real-world scenarios such as hospitals, schools, and the workplace, it must be able to robustly reason about the physical world. Fundamental to this reasoning is physical common s…
Common Sense ReasoningMultimodal ReasoningPhysical Commonsense ReasoningPIQA: Reasoning about Physical Commonsense in Natural Language
To apply eyeshadow without a brush, should I use a cotton swab or a toothpick? Questions requiring this kind of physical commonsense pose a challenge to today's natural language understanding systems. While recent pretra…
ArticlesCommon Sense ReasoningNatural Language UnderstandingPhysical Commonsense Reasoning+1Do Neural Language Representations Learn Physical Commonsense?
Humans understand language based on the rich background knowledge about how the physical world works, which in turn allows us to reason about the physical world through language. In addition to the properties of objects …
Natural Language InferencePhysical Commonsense Reasoning