5 citations · 5 across the 6 of their papers we have counts for
7 papers
Correct Answers, Invalid Traces: What Verifiable Grade-School Math Reveals About Chain-of-Thought Traces
Ratish Puduppully, Pranabendu Misra, Paarth Iyer +3
Chain-of-thought traces are widely read as records of how models reach their answers, informing debugging, agent auditing, and claims about reasoning. Testing this interpretation i…
Masked Self-Distillation: Internalizing the Chain-of-Thought in Language Models
Durgesh Kalwar, Vardhan Palod, Subbarao Kambhampati +1
Large Reasoning Models produce long, explicit chains of intermediate steps before generating a final answer at inference time. These intermediate traces dominate latency, memory us…
Evaluating the False Trust Engendered by LLM Explanations
Vardhan Palod, Upasana Biswas, Subbarao Kambhampati
Large Language Models (LLMs) and Large Reasoning Models (LRMs) are increasingly used for critical tasks, yet they provide no guarantees about the correctness of their solutions. Us…
Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity
Vardhan Palod, Karthik Valmeekam, Kaya Stechly +1
Intermediate token generation (ITG), where a model produces output before the solution, has been proposed as a method to improve the performance of language models on reasoning tas…
Discounting and Drug Seeking in Biological Hierarchical Reinforcement Learning
Vardhan Palod, Pranav Mahajan, Veeky Baths +1
Despite a strong desire to quit, individuals with long-term substance use disorder (SUD) often struggle to resist drug use, even when aware of its harmful consequences. This discon…
Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens
Karthik Valmeekam, Vardhan Palod, Kaya Stechly +2
Recent impressive results from large reasoning models have been interpreted as a triumph of Chain of Thought (CoT), and especially of the process of training on CoTs sampled from b…
Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!
Subbarao Kambhampati, Karthik Valmeekam, Siddhant Bhambri +6
Intermediate token generation (ITG), where a model produces output before the solution, has become a standard method to improve the performance of language models on reasoning task…