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 451–460 of 1135 papers

Title	Date	Tasks	Status	Hype
Instruction Following without Instruction Tuning	Sep 21, 2024	Instruction FollowingLanguage Modeling	CodeCode Available	1
Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models	Sep 21, 2024	Instruction Following	CodeCode Available	0
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models	Sep 21, 2024	Few-Shot LearningInstruction Following	CodeCode Available	1
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation	Sep 20, 2024	Code GenerationInstruction Following	—Unverified	0
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning	Sep 19, 2024	FormInstruction Following	CodeCode Available	1
CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks	Sep 19, 2024	Instruction FollowingOpen-Ended Question Answering	—Unverified	0
SIFToM: Robust Spoken Instruction Following through Theory of Mind	Sep 17, 2024	Instruction FollowingTask Planning	—Unverified	0
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant	Sep 17, 2024	HallucinationInstruction Following	CodeCode Available	0
Enhancing Low-Resource Language and Instruction Following Capabilities of Audio Language Models	Sep 17, 2024	Audio captioningInstruction Following	—Unverified	0
Diversify and Conquer: Diversity-Centric Data Selection with Iterative Refinement	Sep 17, 2024	Active LearningDiversity	CodeCode Available	1

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	AutoIF (Llama3 70B)	Inst-level loose-accuracy	90.4	—	Unverified
2	AutoIF (Qwen2 72B)	Inst-level loose-accuracy	88	—	Unverified
3	GPT-4	Inst-level loose-accuracy	85.37	—	Unverified
4	PaLM 2 S	Inst-level loose-accuracy	59.11	—	Unverified