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 701–710 of 1135 papers

TitleStatusHype
Open-World Skill Discovery from Unsegmented Demonstrations—0
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following—0
Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants—0
Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search—0
Optimizing Latent Goal by Learning from Trajectory Preference—0
OPTune: Efficient Online Preference Tuning—0
Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models—0
Better Instruction-Following Through Minimum Bayes Risk—0
PanGEA: The Panoramic Graph Environment Annotation Toolkit—0
ParamΔ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost—0
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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