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 611–620 of 1135 papers

TitleStatusHype
CORDIAL: Can Multimodal Large Language Models Effectively Understand Coherence Relationships?Code0
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness InstructionCode0
Cuckoo: An IE Free Rider Hatched by Massive Nutrition in LLM's NestCode0
E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection—0
Who Taught You That? Tracing Teachers in Model Distillation—0
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following—0
Hypencoder: Hypernetworks for Information Retrieval—0
Verifiable Format Control for Large Language Model Generations—0
LLMs can be easily Confused by Instructional Distractions—0
Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons—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