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
Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks—0
Distilling Internet-Scale Vision-Language Models into Embodied Agents—0
"No, to the Right" -- Online Language Corrections for Robotic Manipulation via Shared AutonomyCode1
Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following—0
Precise Zero-Shot Dense Retrieval without Relevance LabelsCode2
Self-Instruct: Aligning Language Models with Self-Generated InstructionsCode5
Continual Learning for Instruction Following from Realtime FeedbackCode0
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningCode1
CLIP-Nav: Using CLIP for Zero-Shot Vision-and-Language Navigation—0
Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action CorrectionsCode1
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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