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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 361–370 of 1135 papers

TitleStatusHype
SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models—0
Open6DOR: Benchmarking Open-instruction 6-DoF Object Rearrangement and A VLM-based ApproachCode2
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning—0
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate HallucinationsCode1
Unbounded: A Generative Infinite Game of Character Life Simulation—0
Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks—0
Cross-model Control: Improving Multiple Large Language Models in One-time TrainingCode1
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language ModelsCode2
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains—0
Cross-lingual Transfer of Reward Models in Multilingual AlignmentCode0
Show:102550
← PrevPage 37 of 114Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified