Shashank Sonkar

Shashank Sonkar has 3 papers in our library, in 2023–2024, most of them on Language models & pretraining, Reasoning; often with Richard Baraniuk, Naiming Liu, Kangqi Ni.

3 papers in our library · 2023–2024

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles (2023 · 71 citations)
Building intelligent tutoring systems (ITS) has traditionally depended on rules or constraints written by human experts.
Pedagogical Alignment of Large Language Models (2024 · 54 citations)
Chat-based LLMs used as tutors tend to give students the final answer right away. Good teaching instead breaks a problem into steps and offers hints. The authors call the goal of training models toward this tutoring behaviour "pedagogical alignment." They treat it as a learning from human preferences (LHP) problem…
Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions (2023 · 14 citations)
Standard math benchmarks for LLMs only check whether a model reaches the right answer. This paper asks whether models understand mathematical concepts well enough to reason about wrong answers. It uses multiple-choice grade-school questions from the Eedi platform, where each distractor is tied to a known student…

5 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 73 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated 3 November 2026