Papers by Harsh Saini
DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations (2025.emnlp-industry)
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| Challenge: | Large Language Models (LLMs) have been used in real-world industrial scenarios for various natural language processing tasks, but their high inference cost makes their deployment impractical, necessitating the use of smaller models. |
| Approach: | They propose a continual pre-training technique that generates diverse task instructions and responses via reading comprehension on conversation transcripts, enabling better instruction generalization. |
| Outcome: | The proposed technique improves small LLMs’ domain adaptability for business conversational tasks, compared with traditional methods that rely on next-token prediction. |
LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models (2025.coling-industry)
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| Challenge: | Large Language Models (LLMs) have demonstrated impressive capability to solve a wide range of tasks in recent years. |
| Approach: | They propose to build an on-premise system for LLM evaluation to address the challenges in the evaluation of LLMs in real-world industrial settings. |
| Outcome: | The proposed evaluation system protects customer privacy and protects data integrity in real-world industrial environments. |