SOTAVerified

Benchmarking

Papers

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Showing 926–950 of 5548 papers

TitleStatusHype
HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic ClaimsCode1
Language Complexity Measurement as a Noisy Zero-Shot Proxy for Evaluating LLM Performance—0
Knowledge-aware contrastive heterogeneous molecular graph learning—0
Ad-hoc Concept Forming in the Game Codenames as a Means for Evaluating Large Language Models—0
Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated Environment—0
Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption—0
Ansatz-free Hamiltonian learning with Heisenberg-limited scaling—0
JExplore: Design Space Exploration Tool for Nvidia Jetson BoardsCode0
TituLLMs: A Family of Bangla LLMs with Comprehensive Benchmarking—0
Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs—0
Yesil o1 Pro: Evidence-Based AI Model for Health and Benchmarking in Clinical Decision Support—0
User Profile with Large Language Models: Construction, Updating, and Benchmarking—0
Generalized Attention Flow: Feature Attribution for Transformer Models via Maximum Flow—0
LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs - No Silver Bullet for LC or RAG RoutingCode0
MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?—0
Benchmarking the rationality of AI decision making using the transitivity axiom—0
Forecasting time series with constraintsCode0
A Survey on LLM-based News Recommender Systems—0
AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit—0
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency—0
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMsCode1
Beyond the Singular: The Essential Role of Multiple Generations in Effective Benchmark Evaluation and Analysis—0
Standardisation of Convex Ultrasound Data Through Geometric Analysis and Augmentation—0
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents—0
Zero-shot generation of synthetic neurosurgical data with large language modelsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4 TurboACC0.56—Unverified