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 1026–1050 of 1135 papers

TitleStatusHype
Frustrated with Code Quality Issues? LLMs can Help!—0
Instruction-Following Speech Recognition—0
Monolingual or Multilingual Instruction Tuning: Which Makes a Better AlpacaCode0
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference—0
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis—0
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction WrappingCode0
Efficient Finetuning Large Language Models For Vietnamese Chatbot—0
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning—0
FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking—0
Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics DomainsCode0
Evaluating the Robustness to Instructions of Large Language Models—0
Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrationsCode0
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records—0
UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding—0
PUMGPT: A Large Vision-Language Model for Product Understanding—0
Multi-Level Compositional Reasoning for Interactive Instruction FollowingCode0
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt InjectionCode0
LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following—0
Toward Zero-Shot Instruction FollowingCode0
ETHER: Aligning Emergent Communication for Hindsight Experience Replay—0
Instruction-following Evaluation through Verbalizer Manipulation—0
LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?—0
ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning—0
Exploring the Integration of Large Language Models into Automatic Speech Recognition Systems: An Empirical Study—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