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Thinking About Thinking: Evaluating Reasoning in Post-Trained Language Models
Pratham Singla, Shivank Garg, Ayush Singh +2
Recent advances in post-training techniques have endowed Large Language Models (LLMs) with enhanced capabilities for tackling complex, logic-intensive tasks through the generation…
Do Biased Models Have Biased Thoughts?
Swati Rajwal, Shivank Garg, Reem Abdel-Salam +1
The impressive performance of language models is undeniable. However, the presence of biases based on gender, race, socio-economic status, physical appearance, and sexual orientati…
IPO: Your Language Model is Secretly a Preference Classifier
Shivank Garg, Ayush Singh, Shweta Singh +1
Reinforcement learning from human feedback (RLHF) has emerged as the primary method for aligning large language models (LLMs) with human preferences. While it enables LLMs to achie…