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 441450 of 1135 papers

TitleStatusHype
ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic EnvironmentsCode1
"No, to the Right" -- Online Language Corrections for Robotic Manipulation via Shared AutonomyCode1
RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository ScaleCode1
STRICT: Stress Test of Rendering Images Containing TextCode1
OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ TasksCode1
Online Continual Learning For Interactive Instruction Following AgentsCode1
Preference-Guided Reflective Sampling for Aligning Language ModelsCode0
Beyond Content Relevance: Evaluating Instruction Following in Retrieval ModelsCode0
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax ReductionCode0
Analysis of Language Change in Collaborative Instruction FollowingCode0
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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