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Daniil Orel

Daniil Orel has 5 papers in our library, in 2026, most of them on Evaluation & benchmarks, Reasoning, Code & programming languages; often with Preslav Nakov, Dilshod Azizov, Indraneil Paul.

5 papers in our library · 2026

OpenAlex · ORCID · h-index 7 · 44 works · 149 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 295 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7249

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.

 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. SemEval-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application Scenarios (2026 · 41 citations)
    This shared task targets the problem of telling whether source code was written by people or produced by LLMs.
  2. AICD Bench: A Challenging Benchmark for AI-Generated Code Detection (2026 · 23 citations)
    Tools for detecting machine-written source code are usually tested on narrow, custom datasets. These cover few languages and generators and mostly test human-vs-AI separation within the same distribution, which tells little about how detectors behave in real use. The authors address this with AICD Bench, a unified…
  3. FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning (2026 · 10 citations)
    Current financial QA benchmarks such as FinQA and ConvFinQA mostly score the final number a model produces.
  4. A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis (2026)
    Automatically judging news outlets for political bias and factuality is a scalable alternative to checking individual claims or articles.
  5. Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling (2026)
    The paper asks whether multi-step reasoning in neural models reflects real generalization or memorization, and how difficulty grows with the number of required inference steps.

All works

6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetEmilio Villa-Cueva et al.2025 · 5 citations

 Co-authors here

12 of 26 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 295 times (of the 149,439 papers whose bibliographies we read); 97 citing papers with a page here →.

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