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 711–720 of 1135 papers

TitleStatusHype
Efficient Prompt Optimization Through the Lens of Best Arm Identification—0
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis—0
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models—0
Unbounded: A Generative Infinite Game of Character Life Simulation—0
PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation—0
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments—0
Pay More Attention to the Robustness of Prompt for Instruction Data Mining—0
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification—0
PersianMedQA: Language-Centric Evaluation of LLMs in the Persian Medical Domain—0
UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding—0
Show:102550
← PrevPage 72 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