SOTAVerified

General Knowledge

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

Source: BIG-bench

Papers

Showing 8190 of 399 papers

TitleStatusHype
TRIM: Token Reduction and Inference Modeling for Cost-Effective Language Generation0
SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of ExpertsCode1
Adapter-based Approaches to Knowledge-enhanced Language Models -- A Survey0
GOT4Rec: Graph of Thoughts for Sequential Recommendation0
GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning0
Efficient Transfer Learning for Video-language Foundation ModelsCode0
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?0
MM-Eval: A Hierarchical Benchmark for Modern Mongolian Evaluation in LLMsCode0
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing Agents0
Extracting Unlearned Information from LLMs with Activation Steering0
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Benchmark Results

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