activity
20172026
most citedDeep Retrieval-Based Dialogue Systems: A Short Review

16 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Are Arabic Benchmarks Reliable? QIMMA's Quality-First Approach to LLM Evaluation

Leen AlQadi, Ahmed Alzubaidi, Mohammed Alyafeai +6

We present QIMMA, a quality-assured Arabic LLM leaderboard that places systematic benchmark validation at its core. Rather than aggregating existing resources as-is, QIMMA applies…

cs.AI2025

NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models

Mouadh Yagoubi, Yasser Dahou, Billel Mokeddem +12

Existing benchmarks have proven effective for assessing the performance of fully trained large language models. However, we find striking differences in the early training stages o…

cs.CL2024★ 2 cited

Falcon2-11B Technical Report

Quentin Malartic, Nilabhra Roy Chowdhury, Ruxandra Cojocaru +14

We introduce Falcon2-11B, a foundation model trained on over five trillion tokens, and its multimodal counterpart, Falcon2-11B-vlm, which is a vision-to-text model. We report our f…

cs.CL2019★ 16 cited

Deep Retrieval-Based Dialogue Systems: A Short Review

Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin +1

Building dialogue systems that naturally converse with humans is being an attractive and an active research domain. Multiple systems are being designed everyday and several dataset…

cs.IR2017★ 3 cited

Thread Reconstruction in Conversational Data using Neural Coherence Models

Dat Tien Nguyen, Shafiq Joty, Basma El Amel Boussaha +1

Discussion forums are an important source of information. They are often used to answer specific questions a user might have and to discover more about a topic of interest. Discuss…