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20242026
most citedWithdrarXiv: A Large-Scale Dataset for Retraction Study

4 citations · 4 across the 9 of their papers we have counts for

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8 papers · 1 filter

math-ph2026

Topological recursion for spin enumeration of hypermaps

Alexander Alexandrov, Boris Bychkov, Petr Dunin-Barkowski +2

We establish topological recursion for the spin enumeration of hypermaps, or, in the dual language, spin dessins d'enfants. This problem has remarkable features distinguishing it f…

cs.CL2026

Decision Models vs. LLMs as Rubric Judges: Cheaper, Faster, and Wrong in the Same Places

Delip Rao, Chris Callison-Burch

LLM judges now score outputs against rubrics, in benchmarks and as training rewards. Decision models return probabilities over permitted answers with a confidence score but no free…

cs.CL2026

When Verification Fails: How Compositionally Infeasible Claims Escape Rejection

Muxin Liu, Delip Rao, Grace Kim +1

Scientific claim verification, the task of determining whether claims are entailed by scientific evidence, is fundamental to establishing discoveries in evidence while preventing m…

cs.CL2026

Detecting and Correcting Reference Hallucinations in Commercial LLMs and Deep Research Agents

Delip Rao, Eric Wong, Chris Callison-Burch

Large language models and deep research agents supply citation URLs to support their claims, yet the reliability of these citations has not been systematically measured. We address…

cs.CL2026

What Do Claim Verification Datasets Actually Test? A Reasoning Trace Analysis

Delip Rao, Chris Callison-Burch

Despite rapid progress in claim verification, we lack a systematic understanding of what reasoning these benchmarks actually exercise. We generate structured reasoning traces for 2…

cs.AI2026

ThinknCheck: Grounded Claim Verification with Compact, Reasoning-Driven, and Interpretable Models

Delip Rao, Feijiang Han, Chris Callison-Burch

We present ThinknCheck, a 1B-parameter verifier for grounded claim verification that first produces a short, structured rationale and then a binary verdict. We construct LLMAggreFa…

cs.DL2026

BibTeX Citation Errors in Scientific Publishing Agents: Evaluation and Mitigation

Delip Rao, Chris Callison-Burch

Large language models with web search are increasingly used in scientific publishing agents, yet they produce BibTeX entries with pervasive field-level errors stemming from omissio…

cs.CL2026

Autorubric: A Unifying Framework for Rubric-Based LLM Evaluation on Non-Verifiable Tasks

Delip Rao, Chris Callison-Burch

Rubric-based LLM judges have become indispensable for evaluating and optimizing systems on non-verifiable tasks, where success cannot be reduced to exact programmatic checks. Yet t…