Papers by Oren Gal
CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems (2025.findings-acl)
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| Challenge: | Existing approaches to align LLMs with recommendation tasks do not fully leverage their sequential information processing capabilities. |
| Approach: | They propose a system that allows users to expand their vocabulary by assigning a unique ID to each item within the expanded vocabulary. |
| Outcome: | The proposed system maximizes the sequence understanding abilities of large language models, significantly enhancing their performance on recommendation tasks. |
ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation (2026.acl-long)
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| Challenge: | Parallel programming is central to modern highperformance computing, but producing parallel implementations that are correct and fast remains arduous. |
| Approach: | They propose a workflow that turns a Codex-based agent into an autonomous OpenMP GPU offload system . they use staged hotspot analysis, explicit data planning, correctness gating, profiling-guided refinement . |
| Outcome: | The proposed system outperforms a Codex-based agent on HeCBench, Rodinia, and NAS. |
Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language (2022.coling-1)
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| Challenge: | Existing domain-specific models for detecting suicide are lacking in low-resource languages. |
| Approach: | They propose a model that combines pre-trained language models with a fixed set of suicidal cues and a two-stage fine-tuning process to detect SI. |
| Outcome: | The proposed model outperforms baseline models even early on in the conversation and performs well across genders and age groups. |