3 citations · 3 across the 7 of their papers we have counts for
7 papers
Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation
Lin Shi, Haowei Lin, Zixuan Zhu +123
Evaluating agents on the growing number of agentic benchmarks is challenging because they often require complex environments and agent integrations. We introduce Harbor Adapters, a…
ProReviewer: Evidence-Driven Investigation for Scientific Peer Review
Haishuo Fang, Yue Feng, Iryna Gurevych
Effective peer review requires adaptive investigation that responds to evidence emerging from each paper. Existing LLM-based reviewers largely organize the review process around pr…
Preemptive Detection and Correction of Misaligned Actions in LLM Agents
Haishuo Fang, Xiaodan Zhu, Iryna Gurevych
Deploying LLM-based agents in real-life applications often faces a critical challenge: the misalignment between agents' behavior and user intent. Such misalignment may lead agents…
DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs
Haishuo Fang, Xiaodan Zhu, Iryna Gurevych
Answering Questions over Knowledge Graphs (KGQA) is key to well-functioning autonomous language agents in various real-life applications. To improve the neural-symbolic reasoning c…
UKP-SQuARE: An Interactive Tool for Teaching Question Answering
Haishuo Fang, Haritz Puerto, Iryna Gurevych
The exponential growth of question answering (QA) has made it an indispensable topic in any Natural Language Processing (NLP) course. Additionally, the breadth of QA derived from t…
UKP-SQuARE v3: A Platform for Multi-Agent QA Research
Haritz Puerto, Tim Baumgärtner, Rachneet Sachdeva +5
The continuous development of Question Answering (QA) datasets has drawn the research community's attention toward multi-domain models. A popular approach is to use multi-dataset m…
Transformers with Learnable Activation Functions
Haishuo Fang, Ji-Ung Lee, Nafise Sadat Moosavi +1
Activation functions can have a significant impact on reducing the topological complexity of input data and therefore improve the performance of the model. Selecting a suitable act…