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 911–920 of 1135 papers

TitleStatusHype
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
CoDa: Constrained Generation based Data Augmentation for Low-Resource NLPCode0
Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks—0
Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models—0
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language ModelsCode0
RL for Consistency Models: Faster Reward Guided Text-to-Image Generation—0
WangchanLion and WangchanX MRC EvalCode0
Argument Quality Assessment in the Age of Instruction-Following Large Language Models—0
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning—0
Improving the Robustness of Large Language Models via Consistency Alignment—0
Show:102550
← PrevPage 92 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