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 151–175 of 399 papers

TitleStatusHype
Insect-Foundation: A Foundation Model and Large Multimodal Dataset for Vision-Language Insect Understanding—0
PhD Knowledge Not Required: A Reasoning Challenge for Large Language Models—0
Enabling Autonomic Microservice Management through Self-Learning Agents—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering—0
Sample-Efficient Behavior Cloning Using General Domain Knowledge—0
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning ApproachCode0
Pilot: Building the Federated Multimodal Instruction Tuning Framework—0
How to Complete Domain Tuning while Keeping General Ability in LLM: Adaptive Layer-wise and Element-wise Regularization—0
LLM4WM: Adapting LLM for Wireless Multi-Tasking—0
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana—0
Comparative Insights from 12 Machine Learning Models in Extracting Economic Ideology from Political Text—0
Collective inference of the truth of propositions from crowd probability judgments—0
Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization—0
KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration—0
The Scaling Law for LoRA Base on Mutual Information Upper Bound—0
MoColl: Agent-Based Specific and General Model Collaboration for Image Captioning—0
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities—0
scReader: Prompting Large Language Models to Interpret scRNA-seq Data—0
Survey on Abstractive Text Summarization: Dataset, Models, and MetricsCode0
Extending TWIG: Zero-Shot Predictive Hyperparameter Selection for KGEs based on Graph Structure—0
Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems—0
MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning—0
What Makes Cryptic Crosswords Challenging for LLMs?Code0
TRIM: Token Reduction and Inference Modeling for Cost-Effective Language Generation—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