Papers by Alan Saji
The Reasoning Lingua Franca: A Double-Edged Sword for Multilingual AI (2026.eacl-short)
Copied to clipboard
| Challenge: | Large Reasoning Models (LRMs) are highly effective on mathematical, scientific, and other question-answering tasks. |
| Approach: | They compare an LRM's reasoning in English to that of a multilingual question . they find that English reasoning traces exhibit a substantially higher presence of cognitive behaviors . |
| Outcome: | The LRMs generate reasoning sequences in English, but the language of the question is not. |
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs (2025.findings-acl)
Copied to clipboard
| Challenge: | Large Language Models (LLMs) exhibit strong multilingual performance despite training on English-centric corpora. |
| Approach: | They propose to use Romanization as a potential bridge in multilingual processing . they propose to encode semantic concepts similarly across native and Romanized scripts . |
| Outcome: | The proposed model encodes semantic concepts across native and Romanized scripts, suggesting a shared underlying representation. |
RiddleBench: A New Generative Reasoning Benchmark for LLMs (2026.findings-eacl)
Copied to clipboard
| Challenge: | Large Language Models (LLMs) show remarkable capabilities, but complex reasoning skills require deeper investigation. |
| Approach: | They propose a benchmark of 1,737 puzzles to test reasoning beyond simple pattern matching. |
| Outcome: | The proposed model performs poorly when faced with reordered constraints or irrelevant information. |