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 821–830 of 1135 papers

TitleStatusHype
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models—0
Separable Mixture of Low-Rank Adaptation for Continual Visual Instruction Tuning—0
Separator Injection Attack: Uncovering Dialogue Biases in Large Language Models Caused by Role Separators—0
Sequence-level Large Language Model Training with Contrastive Preference Optimization—0
SeRA: Self-Reviewing and Alignment of Large Language Models using Implicit Reward Margins—0
Visual Instruction Tuning towards General-Purpose Multimodal Model: A Survey—0
SFR-RAG: Towards Contextually Faithful LLMs—0
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe—0
A New Path: Scaling Vision-and-Language Navigation with Synthetic Instructions and Imitation Learning—0
Analyzing Multilingual Competency of LLMs in Multi-Turn Instruction Following: A Case Study of Arabic—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