Who cites «Atlas: Few-shot Learning with Retrieval Augmented Language Models»
- Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research PapersAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijian Xu, Yilun Zhao, Manasi Patwardhan, et al.2025 · 11 citations
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- TAGS: A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and VerificationFindings of the Association for Computational LinguisticsJianghao Wu, Feilong Tang, Yulong Li, et al.2026 · 1 citation
- An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMsFindings of the Association for Computational LinguisticsHengran Zhang, Keping Bi, Jiafeng Guo, et al.2026
- Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QALanguage Resources and Evaluation Conference (LREC)Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.2026
- BubbleRAG: Interactive Cognitive Offloading with Thought Bubble in Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsFuda Ye, Jiachuan Wang, Yongqi Zhang, et al.2026
- CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Dingling Xu, Ruobing Wang, Qingfei Zhao, et al.2026
- Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Noriki Nishida, Rumana Ferdous Munne, Shanshan Liu, et al.2026
- EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric VideoFindings of the Association for Computational LinguisticsYuanmin Tang, Jue Zhang, Xiaoting Qin, et al.2026
- How to Make LMs Strong Node Classifiers?Findings of the Association for Computational LinguisticsZhe Xu, Kaveh Hassani, Si Zhang, et al.2026
- Improving Retrieval-Augmented Generation without Taxonomy-based Error CategorizationAnnual Meeting of the Association for Computational Linguistics (ACL)Gongbo Zhang, Yifan Peng, Chunhua Weng2026
- Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsXinping Zhao, Shouzheng Huang, Yan Zhong, et al.2026
- LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, et al.2026
- LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail EntitiesLanguage Resources and Evaluation Conference (LREC)William Xion, Uwe Hadler, Tim Cofala, et al.2026
- MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsXingchen Xiao, Heyan Huang, Runheng Liu, et al.2026
- MATCH: Modulating Attention via In-Context Retrieval for Long-Context TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Linrui Ma, Chun Hei Lo, Xinyu Wang, et al.2026
- Optimizing RAG Rerankers with LLM Feedback via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhang Wu, Xiangqing Shen, Fanfan Wang, et al.2026
- Pushing the Frontiers of Scientific Fact-Checking: The SCINLP DatasetFindings of the Association for Computational LinguisticsIffat Maab, Junichi Yamagishi2026
- RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval AugmentationFindings of the Association for Computational LinguisticsRan Xu, Yuchen Zhuang, Yue Yu, et al.2026
- The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Shu Zhou, Jinman Leng, Yufei Song, et al.2026
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