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 601–610 of 1135 papers

TitleStatusHype
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play ApproachCode1
Adversarial Moment-Matching Distillation of Large Language ModelsCode0
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning—0
Scalable Ensembling For Mitigating Reward Overoptimisation—0
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models—0
Phased Instruction Fine-Tuning for Large Language ModelsCode0
clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action Agents—0
Improving Reward Models with Synthetic Critiques—0
Joint Embeddings for Graph Instruction Tuning—0
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation—0
Show:102550
← PrevPage 61 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