82 citations · 510 across the 22 of their papers we have counts for
22 papers
CEDAR: Context Engineering for Agentic Data Science
Rishiraj Saha Roy, Chris Hinze, Luzian Hahn +1
We demonstrate CEDAR, an application for automating data science (DS) tasks with an agentic setup. Solving DS problems with LLMs is an underexplored area that has immense market va…
RAGONITE: Iterative Retrieval on Induced Databases and Verbalized RDF for Conversational QA over KGs with RAG
Rishiraj Saha Roy, Chris Hinze, Joel Schlotthauer +5
Conversational question answering (ConvQA) is a convenient means of searching over RDF knowledge graphs (KGs), where a prevalent approach is to translate natural language questions…
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems
Rishiraj Saha Roy, Joel Schlotthauer, Chris Hinze +3
Retrieval Augmented Generation (RAG) works as a backbone for interacting with an enterprise's own data via Conversational Question Answering (ConvQA). In a RAG system, a retriever…
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation
Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
Models for conversational question answering (ConvQA) over knowledge graphs (KGs) are usually trained and tested on benchmarks of gold QA pairs. This implies that training is limit…
CompMix: A Benchmark for Heterogeneous Question Answering
Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum
Fact-centric question answering (QA) often requires access to multiple, heterogeneous, information sources. By jointly considering several sources like a knowledge base (KB), a tex…
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks
Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum
In conversational question answering, users express their information needs through a series of utterances with incomplete context. Typical ConvQA methods rely on a single source (…
Complex Temporal Question Answering on Knowledge Graphs
Zhen Jia, Soumajit Pramanik, Rishiraj Saha Roy +1
Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with temporal intent are a special class of practical importance, but have not received much atte…
UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text
Soumajit Pramanik, Jesujoba Alabi, Rishiraj Saha Roy +1
Question answering over RDF data like knowledge graphs has been greatly advanced, with a number of good systems providing crisp answers for natural language questions or telegraphi…
Beyond NED: Fast and Effective Search Space Reduction for Complex Question Answering over Knowledge Bases
Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum
Answering complex questions over knowledge bases (KB-QA) faces huge input data with billions of facts, involving millions of entities and thousands of predicates. For efficiency, Q…
Counterfactual Explanations for Neural Recommenders
Khanh Hiep Tran, Azin Ghazimatin, Rishiraj Saha Roy
Understanding why specific items are recommended to users can significantly increase their trust and satisfaction in the system. While neural recommenders have become the state-of-…
Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs
Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
The rise of personal assistants has made conversational question answering (ConvQA) a very popular mechanism for user-system interaction. State-of-the-art methods for ConvQA over k…
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models
Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy +1
System-provided explanations for recommendations are an important component towards transparent and trustworthy AI. In state-of-the-art research, this is a one-way signal, though,…
Conversational Question Answering over Passages by Leveraging Word Proximity Networks
Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
Question answering (QA) over text passages is a problem of long-standing interest in information retrieval. Recently, the conversational setting has attracted attention, where a us…
Question Answering over Curated and Open Web Sources
Rishiraj Saha Roy, Avishek Anand
The last few years have seen an explosion of research on the topic of automated question answering (QA), spanning the communities of information retrieval, natural language process…
Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions
Asia J. Biega, Jana Schmidt, Rishiraj Saha Roy
Translating verbose information needs into crisp search queries is a phenomenon that is ubiquitous but hardly understood. Insights into this process could be valuable in several ap…
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy +1
Interpretable explanations for recommender systems and other machine learning models are crucial to gain user trust. Prior works that have focused on paths connecting users and ite…
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion
Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal +2
Fact-centric information needs are rarely one-shot; users typically ask follow-up questions to explore a topic. In such a conversational setting, the user's inputs are often incomp…
CROWN: Conversational Passage Ranking by Reasoning over Word Networks
Magdalena Kaiser, Rishiraj Saha Roy, Gerhard Weikum
Information needs around a topic cannot be satisfied in a single turn; users typically ask follow-up questions referring to the same theme and a system must be capable of understan…
TEQUILA: Temporal Question Answering over Knowledge Bases
Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy +2
Question answering over knowledge bases (KB-QA) poses challenges in handling complex questions that need to be decomposed into sub-questions. An important case, addressed here, is…
FAIRY: A Framework for Understanding Relationships between Users' Actions and their Social Feeds
Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum
Users increasingly rely on social media feeds for consuming daily information. The items in a feed, such as news, questions, songs, etc., usually result from the complex interplay…
Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs
Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy +3
Direct answering of questions that involve multiple entities and relations is a challenge for text-based QA. This problem is most pronounced when answers can be found only by joini…
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters
Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya +1
To bridge the gap between the capabilities of the state-of-the-art in factoid question answering (QA) and what users ask, we need large datasets of real user questions that capture…