Anmol Agarwal
Graduate Student @ Carnegie Mellon University
Selected Work | News | Contact
Hello! I’m Anmol. I am currently a Graduate MS Student at Carnegie Mellon University in the School of Computer Science! My research interests broadly lie in Natural Language Processing and Machine Learning. I am currently working on problems in AI-assisted code generation and alignment.
Prior to CMU, I spent a wonderful year as a Research Fellow at Microsoft Research India in the AI4Code group where I explored various aspects of code generation and large language models.
I completed my undergraduate studies at IIIT-Hyderabad, where I did research at Precog Lab under the guidance of Prof. Ponnurangam Kumaraguru. My work there focused on Information Retrieval and Natural Language Processing. I also worked with Prof. K Madhava Krishna at the Robotics Research Center, to enhance environment maps for Visual-Language Robot Navigation tasks.
I believe the most impactful research questions are derived from real world problems. Hence, I wish to apply my engineering and research skills to tackle the world’s most complex technology challenges.
I’m seeking internship opportunities for Summer 2025. If you think I’d be a good fit for your team, please reach out!
Past/Present Affiliations
 CMU School of Computer Science | 
|  IIIT Hyderabad |
news
| Sep 25, 2024 | Excited to be selected to compete in Amazon’s Trusted AI Challenge over the next few months as a part of CMU’s Defender (Blue) Team. Looking forward to learning from everyone in the competition! |
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| Aug 20, 2024 | Excited to start a new chapter as a Graduate Masters student at CMU SCS! |
| Jul 26, 2024 | [ICML’24] Thrilled to have presented RepoTools at the ICML’24 Data-Centric Machine Learning Workshop in Vienna — my first in-person conference! |
| Jun 20, 2024 | [KDD’24] Delighted to see our work on scaling the analysis of debate conversations with multimodal signals accepted at KDD’24. |
| Jun 18, 2024 | [ICML’24] Our work ‘RepoTools’ to improve performance of LLM-agents for repository-level code completion, accepted at ICML’24 Data-Centric Machine Learning Workshop. |
| Nov 27, 2023 | [NeurIPS’23] Glad to share that we finished runners-up in the NeurIPS LLM Efficiency Challenge hosted at NeurIPS 2023. Some of our learnings from the challenge here. |
| Oct 23, 2023 | [NeurIPS’23] Our work on developing LLM-based Teaching Assistants for educational course-based settings, accepted at GAIED, NeurIPS’23. |
| Jul 24, 2023 | Our team ChaTA won the GenAI Hackathon hosted by Carnegie Mellon University and has been allocated $20,000 for further development. |
| Jul 10, 2023 | Joined as Research Fellow at Microsoft Research India to work on code-generation. Super excited! |
| May 29, 2023 | Our work on integrating instance-level information into spatial map representations, accepted at IEEE ROMAN 2023. |
| Jan 29, 2023 | Selected to attend Research Week with Google at Bangalore in the Natural Language Understanding track. |
| Dec 12, 2022 | [ECIR’23] Our work on adversarial paraphrasing of text aimed at preventing indexing from search engines accepted at ECIR’23. |
| Oct 10, 2022 | Placed on the Dean’s Research List for exceptional research at Undergraduate level. |
| May 30, 2022 | Started internship at Goldman Sachs in the Securities Database Architecture Team. |
| May 26, 2022 | Our work on automating follow-up question-generation to simulate clincal conversations, accepted at CLPsych, NAACL’22. |
| Feb 25, 2022 | Our work on proposing ways to improve adoption rates of agricultural practices among smallholder farmers, accepted at ICTD’22. |
| Feb 1, 2021 | Started working as an Honours student at the Precog Lab, with Prof. Ponnurangam Kumaraguru. |
selected work
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ChaTA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMsGAIED workshop, NeurIPS, 2023
