Enregistré dans:
| Auteurs principaux: | Xu, Paiheng, Liu, Jing, Jones, Nathan, Cohen, Julie, Ai, Wei |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2404.02444 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
par: Zhou, Yuhang, et autres
Publié: (2023)
par: Zhou, Yuhang, et autres
Publié: (2023)
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
par: Zhou, Yuhang, et autres
Publié: (2024)
par: Zhou, Yuhang, et autres
Publié: (2024)
Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications
par: Zhou, Yuhang, et autres
Publié: (2024)
par: Zhou, Yuhang, et autres
Publié: (2024)
Large Language Models and Causal Inference in Collaboration: A Survey
par: Liu, Xiaoyu, et autres
Publié: (2024)
par: Liu, Xiaoyu, et autres
Publié: (2024)
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
par: Liu, Fuxiao, et autres
Publié: (2023)
par: Liu, Fuxiao, et autres
Publié: (2023)
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
par: Zhou, Yuhang, et autres
Publié: (2025)
par: Zhou, Yuhang, et autres
Publié: (2025)
Measuring Pragmatic Influence in Large Language Model Instructions
par: Geng, Yilin, et autres
Publié: (2026)
par: Geng, Yilin, et autres
Publié: (2026)
It is Too Many Options: Pitfalls of Multiple-Choice Questions in Generative AI and Medical Education
par: Singh, Shrutika, et autres
Publié: (2025)
par: Singh, Shrutika, et autres
Publié: (2025)
Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts
par: Tian, Zewei, et autres
Publié: (2024)
par: Tian, Zewei, et autres
Publié: (2024)
Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
par: Zhou, Peng, et autres
Publié: (2024)
par: Zhou, Peng, et autres
Publié: (2024)
Measuring and Controlling Instruction (In)Stability in Language Model Dialogs
par: Li, Kenneth, et autres
Publié: (2024)
par: Li, Kenneth, et autres
Publié: (2024)
It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers
par: Clavié, Benjamin, et autres
Publié: (2025)
par: Clavié, Benjamin, et autres
Publié: (2025)
Promises, Outlooks and Challenges of Diffusion Language Modeling
par: Deschenaux, Justin, et autres
Publié: (2024)
par: Deschenaux, Justin, et autres
Publié: (2024)
Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
par: Wang, Siwei, et autres
Publié: (2025)
par: Wang, Siwei, et autres
Publié: (2025)
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
par: Yuan, Hui, et autres
Publié: (2024)
par: Yuan, Hui, et autres
Publié: (2024)
Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models
par: McDaniel, Emma, et autres
Publié: (2024)
par: McDaniel, Emma, et autres
Publié: (2024)
Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion
par: Liu, Yang, et autres
Publié: (2024)
par: Liu, Yang, et autres
Publié: (2024)
Automatic Instruction Evolving for Large Language Models
par: Zeng, Weihao, et autres
Publié: (2024)
par: Zeng, Weihao, et autres
Publié: (2024)
Small but Significant: On the Promise of Small Language Models for Accessible AIED
par: Wei, Yumou, et autres
Publié: (2025)
par: Wei, Yumou, et autres
Publié: (2025)
Phased Instruction Fine-Tuning for Large Language Models
par: Pang, Wei, et autres
Publié: (2024)
par: Pang, Wei, et autres
Publié: (2024)
Large Language Models for Biomedical Text Simplification: Promising But Not There Yet
par: Li, Zihao, et autres
Publié: (2024)
par: Li, Zihao, et autres
Publié: (2024)
Advancing Reasoning in Large Language Models: Promising Methods and Approaches
par: Patil, Avinash, et autres
Publié: (2025)
par: Patil, Avinash, et autres
Publié: (2025)
Towards Robust Instruction Tuning on Multimodal Large Language Models
par: Han, Wei, et autres
Publié: (2024)
par: Han, Wei, et autres
Publié: (2024)
GraphGPT: Graph Instruction Tuning for Large Language Models
par: Tang, Jiabin, et autres
Publié: (2023)
par: Tang, Jiabin, et autres
Publié: (2023)
CA*: Addressing Evaluation Pitfalls in Computation-Aware Latency for Simultaneous Speech Translation
par: Xu, Xi, et autres
Publié: (2024)
par: Xu, Xi, et autres
Publié: (2024)
AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios
par: Qi, Yunjia, et autres
Publié: (2025)
par: Qi, Yunjia, et autres
Publié: (2025)
LIFEBench: Evaluating Length Instruction Following in Large Language Models
par: Zhang, Wei, et autres
Publié: (2025)
par: Zhang, Wei, et autres
Publié: (2025)
Revisiting the Reliability of Language Models in Instruction-Following
par: Dong, Jianshuo, et autres
Publié: (2025)
par: Dong, Jianshuo, et autres
Publié: (2025)
Investigating Instruction Tuning Large Language Models on Graphs
par: Zhu, Kerui, et autres
Publié: (2024)
par: Zhu, Kerui, et autres
Publié: (2024)
Pitfalls of Conversational LLMs on News Debiasing
par: Schlicht, Ipek Baris, et autres
Publié: (2024)
par: Schlicht, Ipek Baris, et autres
Publié: (2024)
Improve Large Language Model Systems with User Logs
par: Wang, Changyue, et autres
Publié: (2026)
par: Wang, Changyue, et autres
Publié: (2026)
Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models
par: Sun, Wangtao, et autres
Publié: (2024)
par: Sun, Wangtao, et autres
Publié: (2024)
Instructional Fingerprinting of Large Language Models
par: Xu, Jiashu, et autres
Publié: (2024)
par: Xu, Jiashu, et autres
Publié: (2024)
Unveiling the Pitfalls of Knowledge Editing for Large Language Models
par: Li, Zhoubo, et autres
Publié: (2023)
par: Li, Zhoubo, et autres
Publié: (2023)
Learning Shortcuts: On the Misleading Promise of NLU in Language Models
par: Bihani, Geetanjali, et autres
Publié: (2024)
par: Bihani, Geetanjali, et autres
Publié: (2024)
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models
par: Wang, Wei, et autres
Publié: (2024)
par: Wang, Wei, et autres
Publié: (2024)
Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios
par: Zhou, Yuhang, et autres
Publié: (2024)
par: Zhou, Yuhang, et autres
Publié: (2024)
MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
par: Köksal, Abdullatif, et autres
Publié: (2024)
par: Köksal, Abdullatif, et autres
Publié: (2024)
X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions
par: Li, Chong, et autres
Publié: (2024)
par: Li, Chong, et autres
Publié: (2024)
TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution
par: Yang, Jiuding, et autres
Publié: (2024)
par: Yang, Jiuding, et autres
Publié: (2024)
Documents similaires
-
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
par: Zhou, Yuhang, et autres
Publié: (2023) -
Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation
par: Zhou, Yuhang, et autres
Publié: (2024) -
Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications
par: Zhou, Yuhang, et autres
Publié: (2024) -
Large Language Models and Causal Inference in Collaboration: A Survey
par: Liu, Xiaoyu, et autres
Publié: (2024) -
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
par: Liu, Fuxiao, et autres
Publié: (2023)