Papers with Code 아카이브
Logical Reasoning
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
TTT-Bench: A Benchmark for Evaluating Reasoning Ability with Simple and Novel Tic-Tac-Toe-style Games
ScholarSearch: Benchmarking Scholar Searching Ability of LLMs
EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models
Generating Vision-Language Navigation Instructions Incorporated Fine-Grained Alignment Annotations
Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia
Hierarchical Scoring with 3D Gaussian Splatting for Instance Image-Goal Navigation
Automating Exploratory Multiomics Research via Language Models
EconWebArena: Benchmarking Autonomous Agents on Economic Tasks in Realistic Web Environments
Secondary Stakeholders in AI: Fighting for, Brokering, and Navigating Agency
EviNet: Evidential Reasoning Network for Resilient Graph Learning in the Open and Noisy Environments
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning
Adam assisted Fully informed Particle Swarm Optimzation ( Adam-FIPSO ) based Parameter Prediction for the Quantum Approximate Optimization Algorithm (QAOA)
End-to-End Framework for Robot Lawnmower Coverage Path Planning using Cellular Decomposition
Can Theoretical Physics Research Benefit from Language Agents?
Olfactory Inertial Odometry: Sensor Calibration and Drift Compensation
Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study
APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
Beyond the Buzz: A Pragmatic Take on Inference Disaggregation
Preface to the Special Issue of the TAL Journal on Scholarly Document Processing
From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation
SGN-CIRL: Scene Graph-based Navigation with Curriculum, Imitation, and Reinforcement Learning
Towards Geometry Problem Solving in the Large Model Era: A Survey
Impact of Rankings and Personalized Recommendations in Marketplaces
SEMNAV: A Semantic Segmentation-Driven Approach to Visual Semantic Navigation
EvolveNav: Self-Improving Embodied Reasoning for LLM-Based Vision-Language Navigation
Optimization Strategies for Variational Quantum Algorithms in Noisy Landscapes
DualMap: Online Open-Vocabulary Semantic Mapping for Natural Language Navigation in Dynamic Changing Scenes
SocialEval: Evaluating Social Intelligence of Large Language Models
Position: Olfaction Standardization is Essential for the Advancement of Embodied Artificial Intelligence
Time Blindness: Why Video-Language Models Can't See What Humans Can?
Learning coordinated badminton skills for legged manipulators
Infi-MMR: Curriculum-based Unlocking Multimodal Reasoning via Phased Reinforcement Learning in Multimodal Small Language Models
Conceptual Framework Toward Embodied Collective Adaptive Intelligence
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.