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

Showing 891900 of 1135 papers

TitleStatusHype
Evaluating Large Language Models at Evaluating Instruction FollowingCode1
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language ModelsCode0
LLark: A Multimodal Instruction-Following Language Model for MusicCode2
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language ModelsCode1
Understanding the Effects of RLHF on LLM Generalisation and DiversityCode1
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionCode3
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New LanguagesCode1
SteP: Stacked LLM Policies for Web Actions0
Benchmarking and Improving Generator-Validator Consistency of Language Models0
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with TransformersCode1
Show:102550
← PrevPage 90 of 114Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88Unverified
3GPT-4Inst-level loose-accuracy85.37Unverified
4PaLM 2 SInst-level loose-accuracy59.11Unverified