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 1041–1050 of 1135 papers

TitleStatusHype
PUMGPT: A Large Vision-Language Model for Product Understanding—0
Multi-Level Compositional Reasoning for Interactive Instruction FollowingCode0
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt InjectionCode0
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following—0
Toward Zero-Shot Instruction FollowingCode0
ETHER: Aligning Emergent Communication for Hindsight Experience Replay—0
Instruction-following Evaluation through Verbalizer Manipulation—0
LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?—0
ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning—0
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study—0
Show:102550
← PrevPage 105 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