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 951960 of 1135 papers

TitleStatusHype
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative InstructionsCode2
Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-world Multi-turn DialogueCode2
AgentBench: Evaluating LLMs as AgentsCode4
Toward Zero-Shot Instruction FollowingCode0
Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringCode1
ETHER: Aligning Emergent Communication for Hindsight Experience Replay0
L-Eval: Instituting Standardized Evaluation for Long Context Language ModelsCode6
Instruction-following Evaluation through Verbalizer Manipulation0
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsCode2
LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?0
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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