Continuous QA Learning with Structured Prompts
Fuente:
arXiv
Saved in:
| Main Author: | Zheng, Yinhe |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
by: Lang, Hao, et al.
Published: (2023)
by: Lang, Hao, et al.
Published: (2023)
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
by: Feng, Yu, et al.
Published: (2024)
by: Feng, Yu, et al.
Published: (2024)
Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs
by: Liang, Zhuowen, et al.
Published: (2026)
by: Liang, Zhuowen, et al.
Published: (2026)
Learning to Correct for QA Reasoning with Black-box LLMs
by: Kim, Jaehyung, et al.
Published: (2024)
by: Kim, Jaehyung, et al.
Published: (2024)
Effective Structured Prompting by Meta-Learning and Representative Verbalizer
by: Jiang, Weisen, et al.
Published: (2023)
by: Jiang, Weisen, et al.
Published: (2023)
SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
by: Jayasuriya, Dinithi, et al.
Published: (2025)
by: Jayasuriya, Dinithi, et al.
Published: (2025)
DAM: Dynamic Adapter Merging for Continual Video QA Learning
by: Cheng, Feng, et al.
Published: (2024)
by: Cheng, Feng, et al.
Published: (2024)
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA
by: Chen, Xinyue, et al.
Published: (2024)
by: Chen, Xinyue, et al.
Published: (2024)
Task Facet Learning: A Structured Approach to Prompt Optimization
by: Juneja, Gurusha, et al.
Published: (2024)
by: Juneja, Gurusha, et al.
Published: (2024)
Clinical QA 2.0: Multi-Task Learning for Answer Extraction and Categorization
by: Pattnayak, Priyaranjan, et al.
Published: (2025)
by: Pattnayak, Priyaranjan, et al.
Published: (2025)
Multi-LLM QA with Embodied Exploration
by: Patel, Bhrij, et al.
Published: (2024)
by: Patel, Bhrij, et al.
Published: (2024)
PromptDSI: Prompt-based Rehearsal-free Continual Learning for Document Retrieval
by: Huynh, Tuan-Luc, et al.
Published: (2024)
by: Huynh, Tuan-Luc, et al.
Published: (2024)
Structured Prompts Improve Evaluation of Language Models
by: Aali, Asad, et al.
Published: (2025)
by: Aali, Asad, et al.
Published: (2025)
Agentic Adversarial QA for Improving Domain-Specific LLMs
by: Grari, Vincent, et al.
Published: (2026)
by: Grari, Vincent, et al.
Published: (2026)
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning
by: Wang, Bo, et al.
Published: (2024)
by: Wang, Bo, et al.
Published: (2024)
DeferMem: Query-Time Evidence Distillation via Reinforcement Learning for Long-Term Memory QA
by: Yin, Jianing, et al.
Published: (2026)
by: Yin, Jianing, et al.
Published: (2026)
Symbolic Prompt Program Search: A Structure-Aware Approach to Efficient Compile-Time Prompt Optimization
by: Schnabel, Tobias, et al.
Published: (2024)
by: Schnabel, Tobias, et al.
Published: (2024)
ChatQA: Surpassing GPT-4 on Conversational QA and RAG
by: Liu, Zihan, et al.
Published: (2024)
by: Liu, Zihan, et al.
Published: (2024)
Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
by: Dong, Harry, et al.
Published: (2024)
by: Dong, Harry, et al.
Published: (2024)
PRewrite: Prompt Rewriting with Reinforcement Learning
by: Kong, Weize, et al.
Published: (2024)
by: Kong, Weize, et al.
Published: (2024)
System Prompt Optimization with Meta-Learning
by: Choi, Yumin, et al.
Published: (2025)
by: Choi, Yumin, et al.
Published: (2025)
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
by: Pham, Thinh, et al.
Published: (2025)
by: Pham, Thinh, et al.
Published: (2025)
Tabular Transfer Learning via Prompting LLMs
by: Nam, Jaehyun, et al.
Published: (2024)
by: Nam, Jaehyun, et al.
Published: (2024)
Learning to Compress Prompt in Natural Language Formats
by: Chuang, Yu-Neng, et al.
Published: (2024)
by: Chuang, Yu-Neng, et al.
Published: (2024)
Language Model Prompt Selection via Simulation Optimization
by: Zhang, Haoting, et al.
Published: (2024)
by: Zhang, Haoting, et al.
Published: (2024)
CaresAI at BioCreative IX Track 1 -- LLM for Biomedical QA
by: Abdel-Salam, Reem, et al.
Published: (2025)
by: Abdel-Salam, Reem, et al.
Published: (2025)
Bolster Hallucination Detection via Prompt-Guided Data Augmentation
by: Li, Wenyun, et al.
Published: (2025)
by: Li, Wenyun, et al.
Published: (2025)
In-context Continual Learning Assisted by an External Continual Learner
by: Momeni, Saleh, et al.
Published: (2024)
by: Momeni, Saleh, et al.
Published: (2024)
BertaQA: How Much Do Language Models Know About Local Culture?
by: Etxaniz, Julen, et al.
Published: (2024)
by: Etxaniz, Julen, et al.
Published: (2024)
WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts
by: Foroutan, Negar, et al.
Published: (2025)
by: Foroutan, Negar, et al.
Published: (2025)
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
by: Kim, Jaehyung, et al.
Published: (2024)
by: Kim, Jaehyung, et al.
Published: (2024)
Prompt Engineering a Prompt Engineer
by: Ye, Qinyuan, et al.
Published: (2023)
by: Ye, Qinyuan, et al.
Published: (2023)
Automatic Prompt Optimization with Prompt Distillation
by: Dyagin, Ernest A., et al.
Published: (2025)
by: Dyagin, Ernest A., et al.
Published: (2025)
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
by: Le, Thanh-Long V., et al.
Published: (2025)
by: Le, Thanh-Long V., et al.
Published: (2025)
Continual Learning with Global Alignment
by: Bai, Xueying, et al.
Published: (2022)
by: Bai, Xueying, et al.
Published: (2022)
On Prompt-Driven Safeguarding for Large Language Models
by: Zheng, Chujie, et al.
Published: (2024)
by: Zheng, Chujie, et al.
Published: (2024)
MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters
by: Dada, Amin, et al.
Published: (2025)
by: Dada, Amin, et al.
Published: (2025)
ThermoQA: A Three-Tier Benchmark for Evaluating Thermodynamic Reasoning in Large Language Models
by: Düzkar, Kemal
Published: (2026)
by: Düzkar, Kemal
Published: (2026)
LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA
by: Gude, Adrián, et al.
Published: (2025)
by: Gude, Adrián, et al.
Published: (2025)
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
by: Zhou, Han, et al.
Published: (2023)
by: Zhou, Han, et al.
Published: (2023)
Similar Items
-
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
by: Lang, Hao, et al.
Published: (2023) -
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
by: Feng, Yu, et al.
Published: (2024) -
Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs
by: Liang, Zhuowen, et al.
Published: (2026) -
Learning to Correct for QA Reasoning with Black-box LLMs
by: Kim, Jaehyung, et al.
Published: (2024) -
Effective Structured Prompting by Meta-Learning and Representative Verbalizer
by: Jiang, Weisen, et al.
Published: (2023)