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 41–50 of 1135 papers

TitleStatusHype
On the Mechanism of Reasoning Pattern Selection in Reinforcement Learning for Language Models—0
Robust Anti-Backdoor Instruction Tuning in LVLMs—0
RewardAnything: Generalizable Principle-Following Reward ModelsCode1
MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching—0
TIIF-Bench: How Does Your T2I Model Follow Your Instructions?—0
Incentivizing Reasoning for Advanced Instruction-Following of Large Language ModelsCode1
RewardBench 2: Advancing Reward Model EvaluationCode4
MoDA: Modulation Adapter for Fine-Grained Visual Grounding in Instructional MLLMs—0
FusionAudio-1.2M: Towards Fine-grained Audio Captioning with Multimodal Contextual FusionCode2
PersianMedQA: Language-Centric Evaluation of LLMs in the Persian Medical Domain—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