SOTAVerified

General Knowledge

This task aims to evaluate the ability of a model to answer general-knowledge questions.

Source: BIG-bench

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 399 papers

TitleStatusHype
Transformer Based Bengali Chatbot Using General Knowledge Dataset—0
TRIM: Token Reduction and Inference Modeling for Cost-Effective Language Generation—0
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER—0
Understanding Inequality of LLM Fact-Checking over Geographic Regions with Agent and Retrieval models—0
Universal Item Tokenization for Transferable Generative Recommendation—0
Utilisation d'une base de connaissances de sp\'ecialit\'e et de sens commun pour la simplification de comptes-rendus radiologiques (Radiological text simplification using a general knowledge base)—0
Video Question Answering Using CLIP-Guided Visual-Text Attention—0
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints—0
Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives—0
Visual Question Answering as Reading Comprehension—0
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making—0
What's a Good Prediction? Challenges in evaluating an agent's knowledge—0
What Would You Ask When You First Saw a^2+b^2=c^2? Evaluating LLM on Curiosity-Driven Questioning—0
When Life gives you LLMs, make LLM-ADE: Large Language Models with Adaptive Data Engineering—0
"When Words Fail, Emojis Prevail": Generating Sarcastic Utterances with Emoji Using Valence Reversal and Semantic Incongruity—0
MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs—0
MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning—0
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System—0
Mol-LLaMA: Towards General Understanding of Molecules in Large Molecular Language Model—0
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning—0
MoST: Multi-modality Scene Tokenization for Motion Prediction—0
Motif-Based Prompt Learning for Universal Cross-Domain Recommendation—0
Multilingual Tourist Assistance using ChatGPT: Comparing Capabilities in Hindi, Telugu, and Kannada—0
Multi-task Federated Learning with Encoder-Decoder Structure: Enabling Collaborative Learning Across Different Tasks—0
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Chinchilla-70B (few-shot, k=5)Accuracy94.3—Unverified
2Gopher-280B (few-shot, k=5)Accuracy93.9—Unverified
3Chinchilla-70B (few-shot, k=5)Accuracy 85.7—Unverified
4Gopher-280B (few-shot, k=5)Accuracy 84.8—Unverified
5Gopher-280B (few-shot, k=5)Accuracy84.2—Unverified
6Gopher-280B (few-shot, k=5)Accuracy 84.1—Unverified
7Gopher-280B (few-shot, k=5)Accuracy 83.9—Unverified
8Gopher-280B (few-shot, k=5)Accuracy83.3—Unverified
9Gopher-280B (few-shot, k=5)Accuracy 81.8—Unverified
10Gopher-280B (few-shot, k=5)Accuracy 81—Unverified