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Independent publisher

Ratish Puduppully

ratishsp

Models in Library1
Datasets in Library0
Models on Hugging Face11
Followers4

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Reported licenses: mit. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

Model · Text generation

igsm-trace-validity

Ratish Puduppully

The models of Correct Answers, Invalid Traces: What Verifiable Grade-School Math Reveals About Chain-of-Thought Traces (Puduppully, Misra, Iyer, Kalwar, Palod and Kambhampati, 2026). Each is a 12-layer GPT-NeoX model (124M parameters) trained from scratch on iGSM for 100k steps at batch 512. They differ only in the trace that followed the problem during training. Code and the evaluation protocol are at https://github.com/ratishsp/igsm-trace-validity. The tokenizer is GPT-2's, with iGSM's special tokens 222, 223 and 224 for [PROB], [SOL] and [ANS]. evaluate.py in the code repository runs the paper's evaluation on any of these folders.

Open weights mit transformers