82 citations · 99 across the 12 of their papers we have counts for
14 papers
Beyond Outcome Verification: Verifiable Process Reward Models for Structured Reasoning
Massimiliano Pronesti, Anya Belz, Yufang Hou
Recent work on reinforcement learning with verifiable rewards (RLVR) has shown that large language models (LLMs) can be substantially improved using outcome-level verification sign…
The QCET Taxonomy of Standard Quality Criterion Names and Definitions for the Evaluation of NLP Systems
Anya Belz, Simon Mille, Craig Thomson
Prior work has shown that two NLP evaluation experiments that report results for the same quality criterion name (e.g. Fluency) do not necessarily evaluate the same aspect of quali…
Induction Signatures Are Not Enough: A Matched-Compute Study of Load-Bearing Structure in In-Context Learning
Mohammed Sabry, Anya Belz
Mechanism-targeted synthetic data is increasingly proposed as a way to steer pretraining toward desirable capabilities, but it remains unclear how such interventions should be eval…
Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies
Massimiliano Pronesti, Joao Bettencourt-Silva, Paul Flanagan +4
Extracting scientific evidence from biomedical studies for clinical research questions (e.g., Does stem cell transplantation improve quality of life in patients with medically refr…
QRA++: Quantified Reproducibility Assessment for Common Types of Results in Natural Language Processing
Anya Belz
Reproduction studies reported in NLP provide individual data points which in combination indicate worryingly low levels of reproducibility in the field. Because each reproduction s…
Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning
Massimiliano Pronesti, Michela Lorandi, Paul Flanagan +3
Systematic reviews in medicine play a critical role in evidence-based decision-making by aggregating findings from multiple studies. A central bottleneck in automating this process…