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

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Showing 311–320 of 1135 papers

TitleStatusHype
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated FlightCode1
Lexicon Learning for Few-Shot Neural Sequence ModelingCode1
Language Imbalance Driven Rewarding for Multilingual Self-improvingCode1
Lana: A Language-Capable Navigator for Instruction Following and GenerationCode1
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat TemplatesCode1
Language-Conditioned Reinforcement Learning to Solve Misunderstandings with Action CorrectionsCode1
Evaluating LLMs at Detecting Errors in LLM ResponsesCode1
Evaluating Large Language Models at Evaluating Instruction FollowingCode1
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic ScenariosCode1
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringCode1
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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