Evidence map›Paper›PMID 41488129›Full record

ArticleFindings of ACL. ACL2025

LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers.

Shantanu Ghosh, Rayan Syed, Chenyu Wang, Vaibhav Choudhary, Binxu Li, Clare B Poynton, Shyam Visweswaran, Kayhan Batmanghelich

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Findings of ACL. ACL, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Shantanu GhoshBoston University.
Rayan SyedBoston University.
Chenyu WangBoston University.
Vaibhav ChoudharyBoston University.
Binxu LiStanford University.
Clare B PoyntonBoston University Medical Campus.
Shyam VisweswaranUniversity of Pittsburgh.
Kayhan BatmanghelichBoston University.

Funding

Integrating Multi-Modal Data and Biomechanics in COPD: Toward Robust and Interpretable Biomarkers for Disease Subtyping and ProgressionR01HL141813 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Kayhan Batmanghelich · 2018 to 2026
$4.2M
NHLBI NIH HHS R01 HL141813
6 · The paper itself

Abstract

Slice discovery refers to identifying systematic biases in the mistakes of pre-trained vision models. Current slice discovery methods in computer vision rely on converting input images into sets of attributes and then testing hypotheses about configurations of these precomputed attributes associated with elevated error patterns. However, such methods face several limitations: 1) they are restricted by the predefined attribute bank; 2) they lack the

Identifiers

PMID41488129
PMCPMC12756946

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.