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Salem Lahlou

Salem Lahlou has 4 papers in our library, in 2026, most of them on Reasoning, Semitic languages, Evaluation & benchmarks; often with Ahmed Heakl, Hachem Madmoun, Jimin Huang.

4 papers in our library · 2026

OpenAlex · ORCID · h-index 6 · 72 works · 216 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 93 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #10635

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant Reasoning (2026 · 4 citations)
    Arabic financial NLP has almost no evaluation resources, even though Gulf economies and the Islamic finance industry produce large amounts of Arabic regulatory, juristic and corporate text.
  2. ArabicDialectHub: A Cross-Dialectal Arabic Learning Resource and Platform (2026)
    ArabicDialectHub targets a gap in Arabic learning. Most apps teach only MSA, and dialect corpora such as MADAR or PADIC are built for NLP research, not for learners. The author contributes two things. The first is a collection of 552 phrases organized for teaching, spanning MSA along with five dialects: Lebanese…
  3. Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches (2026)
    The paper examines how to make LLM agents cooperate in social dilemmas. It compares two interventions: an explicit communication channel and in-context curriculum learning. Four instruction-tuned models (Mixtral-8x22B, Qwen2.5-72B, Llama-3.3-70B, DeepSeek-V3) played classic game-theory scenarios through the DeepInfra…
  4. SD-E2: Semantic Exploration for Reasoning Under Token Budgets (2026)
    Small language models have a hard time with multi-step reasoning when token budgets are tight. They need to try different solution approaches, but sampling many traces is costly. Standard RL rewards such as GRPO also cannot tell a new strategy apart from a reworded old one. The authors propose SD-E2, an RL framework…

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning ↗arXiv:1810.08272 · no summary yetMaxime Chevalier-Boisvert et al.2018 · 123 citations
  2. Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks ↗arXiv:2306.13831 · no summary yetMaxime Chevalier-Boisvert et al.2023 · 25 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 93 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

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