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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 761–770 of 1135 papers

TitleStatusHype
Reminding Multimodal Large Language Models of Object-aware Knowledge with Retrieved Tags—0
Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language Models—0
Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers—0
Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models—0
URO-Bench: A Comprehensive Benchmark for End-to-End Spoken Dialogue Models—0
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References—0
Revisiting the Superficial Alignment Hypothesis—0
Shuttle Between the Instructions and the Parameters of Large Language Models—0
A Systematic Examination of Preference Learning through the Lens of Instruction-Following—0
A Survey of Reinforcement Learning Informed by Natural Language—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