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 551–560 of 1135 papers

TitleStatusHype
Evaluation of Instruction-Following Ability for Large Language Models on Story-Ending Generation—0
RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository ScaleCode1
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMsCode1
AudioBench: A Universal Benchmark for Audio Large Language ModelsCode3
RuleR: Improving LLM Controllability by Rule-based Data RecyclingCode1
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization—0
DEM: Distribution Edited Model for Training with Mixed Data Distributions—0
Hybrid Alignment Training for Large Language ModelsCode1
AdaGrad under Anisotropic Smoothness—0
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought—0
Show:102550
← PrevPage 56 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