--- title: "Who cites Akash Ghosh — 52 papers of our library" description: "52 papers of the Elamur Research library cite the works of Akash Ghosh, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/akash-ghosh/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/akash-ghosh/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Akash Ghosh](https://md.research.elamur.ai/free/en/authors/akash-ghosh/) / cited by # Who cites Akash Ghosh 54 citations of their works from 52 papers of our library (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← Akash Ghosh](https://md.research.elamur.ai/free/en/authors/akash-ghosh/) 1. [**A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications arXiv:2402.07927**Pranab Sahoo; Ayush Kumar Singh; Sriparna Saha; Vinija Jain; Samrat Mondal;, Aman Chadha*2024 · 375 citations*](https://md.research.elamur.ai/free/en/papers/sahoo-2024-systematic-survey-prompt-engineering-large/) 2. **[CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning](https://md.research.elamur.ai/free/en/papers/onyame-2026-cure-med-curriculum-informed-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eric Onyame, Akash Ghosh, Subhadip Baidya, et al.*2026 · 5 citations* 3. **[CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-ccd-mitigating-hallucinations-radiology-mllms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xi Zhang, Zaiqiao Meng, Jake Lever, et al.*2026 · 2 citations* 4. **[Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/schreieder-2026-attribution-citation-quotation-survey-evidence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tobias Schreieder, Tim Schopf, Michael Färber*2026 · 1 citation* 5. **[“So, How Much Do LLMs Hallucinate on Low-Resource Languages?” A Quantitative and Qualitative Analysis](https://md.research.elamur.ai/free/en/papers/trivedi-2026-so-how-much-do-llms/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Kushal Trivedi, Murtuza Shaikh, Sriyansh Sharma*2026 · 1 citation* 6. **[AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments](https://md.research.elamur.ai/free/en/papers/xi-2026-agentgym2-benchmarking-large-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiheng Xi, Dingwen Yang, Jiaqi Liu, et al.*2026* 7. **[Assessing Web Search Credibility and Response Groundedness in Chat Assistants](https://md.research.elamur.ai/free/en/papers/vykopal-2026-assessing-web-search-credibility-response/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ivan Vykopal, Matúš Pikuliak, Simon Ostermann, et al.*2026* 8. **[EncouRAGe: Evaluating RAG Local, Reliable, and Efficient](https://md.research.elamur.ai/free/en/papers/strich-2026-encourage-evaluating-rag-local-reliable/) [Workshop on Multilingual Report Generation via Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/venues/rag4reports/)**Jan Strich, Martin Semmann, Chris Biemann*2026* 9. **[HalluZig: Hallucination Detection using Zigzag Persistence](https://md.research.elamur.ai/free/en/papers/samaga-2026-halluzig-hallucination-detection-zigzag-persistence/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Shreyas N. Samaga, Gilberto Gonzalez Arroyo, Tamal K. Dey*2026* 10. **[Knowledge-Infused Multi-Bit Watermarking for RAG Knowledge Bases](https://md.research.elamur.ai/free/en/papers/yang-2026-knowledge-infused-multi-bit-watermarking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ke Yang, Shuguang Yuan, Jing Yu, et al.*2026* 11. **[PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning](https://md.research.elamur.ai/free/en/papers/liu-2026-pretrainrl-alleviating-factuality-hallucination-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Langming Liu, Kangtao Lv, Haibin Chen, et al.*2026* 12. **[PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/wu-2026-prism-probing-reasoning-instruction-source/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhe Wu, Guangyu Wang, Yuran Chen, et al.*2026* 13. **[Text-to-SQL Task-oriented Dialogue Ontology Construction](https://md.research.elamur.ai/free/en/papers/vukovic-2026-text-sql-task-oriented-dialogue/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Renato Vukovic, Carel van Niekerk, Michael Heck, et al.*2026* 14. **[Tricking Open-World Object Recognition Models: Uncertainty in Out-of-Distribution Detection](https://md.research.elamur.ai/free/en/papers/teillers-2026-tricking-open-world-object-recognition/) [Workshop on Towards Knowledgeable Foundation Models](https://md.research.elamur.ai/free/en/venues/knowfm/)**Wout Teillers, Matias Valdenegro-Toro*2026* 38 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/akash-ghosh/) — Akash Ghosh