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1 | | -# PLSemanticsBench |
2 | | - |
3 | | -[](https://huggingface.co/datasets/EngineeringSoftware/PLSemanticsBench) |
| 1 | +<div align="center"> |
| 2 | + <p>The 43rd International Conference on Machine Learning (ICML 2026), Seoul, South Korea</p> |
| 3 | + <h1> |
| 4 | + LLMs Lean on Priors, Not Programming Language Semantics |
| 5 | + <img |
| 6 | + src="https://raw.githubusercontent.com/EngineeringSoftware/PLSemanticsBench/main/docs/logo.png" |
| 7 | + alt="PLSemanticsBench logo" |
| 8 | + width="50" |
| 9 | + style="display: inline-block !important; |
| 10 | + vertical-align: 4.0em; |
| 11 | + margin-left: 10px; |
| 12 | + margin-top: 10px;"> |
| 13 | + </span> |
| 14 | + </h1> |
| 15 | + |
| 16 | + <p style="font-size: 20px;"> |
| 17 | + by |
| 18 | + <a href="https://www.adityathimmaiah.com">Aditya Thimmaiah</a><sup>1</sup>, |
| 19 | + <a href="https://jiyangzhang.github.io/">Jiyang Zhang</a><sup>1</sup>, |
| 20 | + <a href="https://scholar.google.com/citations?user=HtNfeKYAAAAJ&hl=en">Jayanth Srinivasa</a><sup>2</sup>, |
| 21 | + <a href="https://www.jessyli.com">Junyi Jessy Li</a><sup>1</sup>, |
| 22 | + <a href="https://users.ece.utexas.edu/~gligoric/">Milos Gligoric</a><sup>1</sup> |
| 23 | + </p> |
| 24 | + |
| 25 | + <p> |
| 26 | + <sup>1</sup>The University of Texas at Austin |
| 27 | + <sup>2</sup>Cisco Research |
| 28 | + </p> |
| 29 | +</div> |
| 30 | + |
| 31 | +<div align="center"> |
| 32 | + |
| 33 | +[](https://engineeringsoftware.github.io/PLSemanticsBench/) |
| 34 | +[](https://arxiv.org/pdf/2510.03415v3) |
| 35 | +[](https://github.com/EngineeringSoftware/PLSemanticsBench) |
| 36 | +[](https://huggingface.co/datasets/EngineeringSoftware/PLSemanticsBench) |
| 37 | + |
| 38 | +</div> |
4 | 39 |
|
5 | 40 |
|
6 | 41 | ## Table of Contents |
|
12 | 47 | - [Citation](#citation) |
13 | 48 |
|
14 | 49 | ## About |
15 | | -PLSemanticsBench is the first benchmark for evaluating LLMs as programming language interpreters. We introduce three tasks to evaluate this: |
| 50 | +PLSemanticsBench is the first counterfactual PL semantics dataset for evaluating rule-conditioned reasoning in LLMs. |
| 51 | +Program execution is used as a lens for evaluating it via three tasks: |
16 | 52 |
|
17 | 53 | | Task | Description | |
18 | 54 | |------|-------------| |
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