Papers by Aman Tiwari
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework (2025.naacl-short)
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| Challenge: | Graph databases like Neo4j are gaining popularity for handling complex, interconnected data, over traditional relational databases. |
| Approach: | They propose an automated pipeline to generate Cypher queries for Neo4j using LLM-As-Database-Filler, a novel strategy for ensuring Cyphere query correctness. |
| Outcome: | The proposed pipeline generates high quality Cypher data containing 29.8k instances across various domains and queries with varying complexities. |
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback (2023.emnlp-main)
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Alexander Havrilla, Maksym Zhuravinskyi, Duy Phung, Aman Tiwari, Jonathan Tow, Stella Biderman, Quentin Anthony, Louis Castricato
| Challenge: | Current RLHF paradigms rely on Proximal Policy Optimization (PPO), which quickly becomes a challenge to implement and scale up to large architectures. |
| Approach: | They propose an open-source framework for reinforcement learning from human feedback . it allows for offline fine-tuning of large language models . |
| Outcome: | The framework can be used to fine-tune models up to and exceeding 70 billion parameters. |
Corpus for Automatic Structuring of Legal Documents (2022.lrec-1)
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Prathamesh Kalamkar, Aman Tiwari, Astha Agarwal, Saurabh Karn, Smita Gupta, Vivek Raghavan, Ashutosh Modi
| Challenge: | In populous countries, pending legal cases are growing exponentially. |
| Approach: | They propose a corpus of legal judgment documents in English that is annotated with a label coming from a list of pre-defined rhetorical roles. |
| Outcome: | The proposed corpus of legal judgment documents is annotated with a label coming from a list of pre-defined rhetorical roles. |