Anna Sokol

dblp:333/8097 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2025
0000-0001-7804-9216ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%
Artificial intelligence
2 papers
Language models and text generation · 50% Question answering and dialogue systems · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Human-computer interaction and pervasive computing
1 paper
Usability and user experience research · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Question answering and dialogue systems › conversational agents
chatbot
0.912025
Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives · WSDM 2025
Natural language and speech › Language models and text generation
large language model evaluation
0.912025
BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks · NeurIPS 2025
Information retrieval › interactive information retrieval › conversational information seeking
conversational search
0.912025
Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives · WSDM 2025
Information retrieval › query formulation
natural language querying
0.912025
Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives · WSDM 2025
Information retrieval
search engines
0.912025
Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives · WSDM 2025
Usability and user experience research
user study
0.312025
BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks · NeurIPS 2025

Methods — techniques the papers use, named apart from their topics

natural language processing · 2.6large language model · 2.6user study · 1.7
YearPublicationVenuePosition
2025 BenchmarkCards: Standardized Documentation for Large Language Model Benchmarks
abstract
Large language models (LLMs) are powerful tools capable of handling diverse tasks. Comparing and selecting appropriate LLMs for specific tasks requires systematic evaluation methods, as models exhibit varying capabilities across different domains. However, finding suitable benchmarks is difficult given the many available options. This complexity not only increases the risk of benchmark misuse and misinterpretation but also demands substantial effort from LLM users, seeking the most suitable benchmarks for their specific needs. To address these issues, we introduce BenchmarkCards, an intuitive and validated documentation framework that standardizes critical benchmark attributes such as objectives, methodologies, data sources, and limitations. Through user studies involving benchmark creators and users, we show that BenchmarkCards can simplify benchmark selection and enhance transparency, facilitating informed decision-making in evaluating LLMs.Data & Code:github.com/SokolAnn/BenchmarkCards huggingface.co/datasets/ASokol/BenchmarkCards
Anna Sokol, Elizabeth Daly, Michael Hind, David Piorkowski, Xiangliang Zhang 0001, Nuno Moniz, Nitesh V. Chawla
NeurIPS1
2025 Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives
abstract
We present Ventana a la Verdad, a chatbot designed to make the Clar- ification Archive and the reports of the Colombian Truth Commis- sion [6] more accessible to a wider audience. These archives contain a wealth of documents, interviews, and testimonies from Colom- bia's armed conflict, but navigating them can be challenging due to their volume and complexity. Using existing large language models (LLMs) and natural language processing techniques, our chatbot allows users to interact with the archives through natural language queries, receiving relevant and contextually appropriate responses. In the sensitive context of peace and reconciliation, where misin- formation or hallucinations can have significant adverse effects, ensuring the accuracy and reliability of information is paramount. This tool aims to facilitate better understanding and engagement with historical content, supporting educational and research efforts. We discuss the development of the chatbot, the challenges encoun- tered, and its potential impact on making the Colombian Truth Commission's archives more accessible. The chatbot is available by link here: http://ventanaverdad.lucyapps.net:1337/
Anna Sokol, Matthew L. Sisk, Josefina Echavarría Alvarez, Nitesh V. Chawla
WSDM1