Papers by Parshin Shojaee
Federated Retrieval Augmented Generation for Multi-Product Question Answering (2025.coling-industry)
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| Challenge: | Existing multi-domain RAG-QA approaches query all domains indiscriminately or rely on rigid resource selection. |
| Approach: | They propose a multi-product knowledge-augmented QA framework with probabilistic federated search across domains and relevant knowledge. |
| Outcome: | The proposed framework improves multi-product knowledge-augmented QA performance on Adobe products. |
Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories (2025.emnlp-main)
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Mohammad Beigi, Ying Shen, Parshin Shojaee, Qifan Wang, Zichao Wang, Chandan K. Reddy, Ming Jin, Lifu Huang
| Challenge: | Existing studies show that large language models inadvertently foster sycophancy . scophancies are a tendency of models to blindly conform to user preferences without critical reasoning or self-reflection. |
| Approach: | They propose a method to reduce sycophancy by combining uncertainty-aware Monte Carlo tree search and progress-based reinforcement learning. |
| Outcome: | The proposed model outperforms baseline models in effectively reducing sycophancy while maintaining performance on out-of-distribution inputs. |