Sushrita Rakshit
Papers
1
Total Citations
2
H-Index
1
About
Sushrita Rakshit is a rising researcher at the intersection of natural language processing and human-computer interaction, with a focus on evaluating and improving the fidelity of large language models (LLMs) in dialogue systems. Her most-cited work, "Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue" (2024), tackles a critical challenge in the field: the high cost and complexity of collecting human conversational data. By systematically testing whether LLMs can replicate nuanced human dialogue qualities—such as naturalness, empathy, and coherence—Rakshit provides a rigorous framework for validating simulation-based research. This contribution is vital for advancing cost-effective, scalable methods in dialogue system development, with implications for chatbot design, social robotics, and behavioral studies. Though early in her career, her work has already garnered attention (2 citations in its first year), signaling growing interest in her approach to bridging the gap between artificial and human communication. Rakshit’s research promises to reshape how researchers build and trust LLM-generated conversational data, making her a notable voice in the push toward more authentic and efficient human-AI interaction studies.
Research Focus
Key Achievements
Top Papers
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