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 231–240 of 1135 papers

TitleStatusHype
Generative Parameter-Efficient Fine-TuningCode1
Lexicon Learning for Few-Shot Neural Sequence ModelingCode1
Curiosity-Driven Reinforcement Learning from Human FeedbackCode1
Demystifying Domain-adaptive Post-training for Financial LLMsCode1
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed BanditsCode1
AllenAct: A Framework for Embodied AI ResearchCode1
CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM WisdomCode1
DialFRED: Dialogue-Enabled Agents for Embodied Instruction FollowingCode1
Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank AdaptationCode1
Learning to Map Natural Language Instructions to Physical Quadcopter Control using Simulated FlightCode1
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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