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 151–200 of 399 papers

TitleStatusHype
AdaptGCD: Multi-Expert Adapter Tuning for Generalized Category Discovery—0
Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization—0
A Dynamic Approach to Probabilistic Inference—0
A Factoid Question Answering System for Vietnamese—0
A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming—0
AILS-NTUA at SemEval-2025 Task 4: Parameter-Efficient Unlearning for Large Language Models using Data Chunking—0
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era—0
An Adaptive Deep Learning Framework for Day-ahead Forecasting of Photovoltaic Power Generation—0
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graph—0
Analysis of Watson's Strategies for Playing Jeopardy!—0
An Energy Ontology for Global City Indicators (ISO 37120)—0
AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis—0
Applying SoftTriple Loss for Supervised Language Model Fine Tuning—0
Are LLMs Good Cryptic Crossword Solvers?—0
Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems—0
A Self-Supervised Learning of a Foundation Model for Analog Layout Design Automation—0
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources—0
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation—0
Assessing Look-Ahead Bias in Stock Return Predictions Generated By GPT Sentiment Analysis—0
A Unified Industrial Large Knowledge Model Framework in Industry 4.0 and Smart Manufacturing—0
Autonomous Intelligent Software Development—0
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization—0
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming—0
Bilingual Evaluation of Language Models on General Knowledge in University Entrance Exams with Minimal Contamination—0
BinBert: Binary Code Understanding with a Fine-tunable and Execution-aware Transformer—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation—0
Bootstrapping Cognitive Agents with a Large Language Model—0
Bridge-Coder: Unlocking LLMs' Potential to Overcome Language Gaps in Low-Resource Code—0
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering—0
Learning Electromagnetic Metamaterial Physics With ChatGPT—0
Can LVLMs Obtain a Driver's License? A Benchmark Towards Reliable AGI for Autonomous Driving—0
Collaborative ontology sharing and editing—0
Collective inference of the truth of propositions from crowd probability judgments—0
Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval—0
Comparative Insights from 12 Machine Learning Models in Extracting Economic Ideology from Political Text—0
Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive Reasoners—0
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis—0
Constructing Enhanced Mutual Information for Online Class-Incremental Learning—0
Context and Humor: Understanding Amul advertisements of India—0
Controversy Rules - Discovering Regions Where Classifiers (Dis-)Agree Exceptionally—0
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation—0
DAML-ST5: Low Resource Style Transfer via Domain Adaptive Meta Learning—0
Data structuring for the ontological modelling of wind energy systems—0
Deep Prompt Multi-task Network for Abuse Language Detection—0
Differentially Private Distributed Learning for Language Modeling Tasks—0
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning—0
Generating Question Relevant Captions to Aid Visual Question Answering—0
Distributed Fine-tuning of Language Models on Private Data—0
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning—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