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

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Showing 741–750 of 1135 papers

TitleStatusHype
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy—0
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints—0
Self-Boosting Large Language Models with Synthetic Preference Data—0
HERM: Benchmarking and Enhancing Multimodal LLMs for Human-Centric Understanding—0
Large Language Model Compression with Neural Architecture Search—0
ReIFE: Re-evaluating Instruction-Following EvaluationCode0
Direct Preference Optimization for LLM-Enhanced Recommendation Systems—0
Multimodal Situational Safety—0
TOWER: Tree Organized Weighting for Evaluating Complex Instructions—0
Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization—0
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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