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 661–670 of 1135 papers

TitleStatusHype
Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning—0
Sketch-Plan-Generalize: Learning and Planning with Neuro-Symbolic Programmatic Representations for Inductive Spatial Concepts—0
CodecLM: Aligning Language Models with Tailored Synthetic Data—0
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs—0
Facial Affective Behavior Analysis with Instruction TuningCode1
Teaching Llama a New Language Through Cross-Lingual Knowledge TransferCode0
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues—0
Evaluating LLMs at Detecting Errors in LLM ResponsesCode1
An Incomplete Loop: Deductive, Inductive, and Abductive Learning in Large Language Models—0
Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language ModelsCode2
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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