SOTAVerified

Instruction Following

Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.

Papers

Showing 571580 of 1135 papers

TitleStatusHype
Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation LearningCode0
Bayesian Calibration of Win Rate Estimation with LLM EvaluatorsCode0
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following TasksCode0
Analysis of Language Change in Collaborative Instruction FollowingCode0
Multi-Level Compositional Reasoning for Interactive Instruction FollowingCode0
WildIFEval: Instruction Following in the WildCode0
Compositionality as Lexical SymmetryCode0
Quantifying Self-diagnostic Atomic Knowledge in Chinese Medical Foundation Model: A Computational AnalysisCode0
InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction FollowingCode0
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's NestCode0
Show:102550
← PrevPage 58 of 114Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified