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 941–950 of 1135 papers

TitleStatusHype
RefuteBench: Evaluating Refuting Instruction-Following for Large Language ModelsCode0
VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models—0
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?—0
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models—0
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models—0
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional AnalysisCode0
Transformer-based Causal Language Models Perform Clustering—0
Aligning Large Language Models by On-Policy Self-JudgmentCode0
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility EstimationCode0
Efficient Prompt Optimization Through the Lens of Best Arm Identification—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