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 351–360 of 1135 papers

TitleStatusHype
On the Loss of Context-awareness in General Instruction Fine-tuningCode0
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors—0
Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language ModelsCode0
TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models—0
LLaMo: Large Language Model-based Molecular Graph AssistantCode1
Beyond Content Relevance: Evaluating Instruction Following in Retrieval ModelsCode0
Constraint Back-translation Improves Complex Instruction Following of Large Language ModelsCode1
MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingCode0
UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward Function—0
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization systemCode0
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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