:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Howard, Phillip, Wang, Junlin, Lal, Vasudev, Singer, Gadi, Choi, Yejin, Swayamdipta, Swabha
Format:	Preprint
Published:	2023
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2305.04978
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information
by: Ethayarajh, Kawin, et al.
Published: (2021)

Compare without Despair: Reliable Preference Evaluation with Generation Separability
by: Ghosh, Sayan, et al.
Published: (2024)

Annotating FrameNet via Structure-Conditioned Language Generation
by: Cui, Xinyue, et al.
Published: (2024)

NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation
by: Rosenman, Shachar, et al.
Published: (2023)

Cultural Awareness in Vision-Language Models: A Cross-Country Exploration
by: Madasu, Avinash, et al.
Published: (2025)

Neuro-Symbolic Frameworks: Conceptual Characterization and Empirical Comparative Analysis
by: Sinha, Sania, et al.
Published: (2025)

How Reliable is Language Model Micro-Benchmarking?
by: Yauney, Gregory, et al.
Published: (2025)

Crowd-Calibrator: Can Annotator Disagreement Inform Calibration in Subjective Tasks?
by: Khurana, Urja, et al.
Published: (2024)

Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification
by: Liu, Joseph, et al.
Published: (2025)

Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge
by: Cui, Xinyue, et al.
Published: (2025)

Is Your Paper Being Reviewed by an LLM? Benchmarking AI Text Detection in Peer Review
by: Yu, Sungduk, et al.
Published: (2025)

Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review
by: Yu, Sungduk, et al.
Published: (2024)

SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs
by: Su, Xin, et al.
Published: (2024)

Logits of API-Protected LLMs Leak Proprietary Information
by: Finlayson, Matthew, et al.
Published: (2024)

Disentangling Geometry, Performance, and Training in Language Models
by: Kulkarni, Atharva, et al.
Published: (2026)

Neuro-Symbolic Concepts
by: Mao, Jiayuan, et al.
Published: (2025)

Neuro-Symbolic Query Compiler
by: Zhang, Yuyao, et al.
Published: (2025)

BenchBrowser: Retrieving Evidence for Evaluating Benchmark Validity
by: Diddee, Harshita, et al.
Published: (2026)

Teaching Models to Understand (but not Generate) High-risk Data
by: Wang, Ryan, et al.
Published: (2025)

Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs
by: Mo, Wentao, et al.
Published: (2026)

Scaling Knowledge Graph Construction through Synthetic Data Generation and Distillation
by: Choubey, Prafulla Kumar, et al.
Published: (2024)

Neuro-Symbolic Synergy for Interactive World Modeling
by: Zhao, Hongyu, et al.
Published: (2026)

Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs
by: Ghosh, Sayan, et al.
Published: (2025)

Improving Language Model Personas via Rationalization with Psychological Scaffolds
by: Joshi, Brihi, et al.
Published: (2025)

Better Language Model Inversion by Compactly Representing Next-Token Distributions
by: Nazir, Murtaza, et al.
Published: (2025)

Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion
by: Nandi, Ananjan, et al.
Published: (2024)

Pruning the Paradox: How CLIP's Most Informative Heads Enhance Performance While Amplifying Bias
by: Madasu, Avinash, et al.
Published: (2025)

ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
by: Arrotta, Luca, et al.
Published: (2024)

Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations
by: He, Keyu, et al.
Published: (2025)

The EpisTwin: A Knowledge Graph-Grounded Neuro-Symbolic Architecture for Personal AI
by: Servedio, Giovanni, et al.
Published: (2026)

Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations
by: Ratzlaff, Neale, et al.
Published: (2024)

A Neuro-Symbolic Approach to Monitoring Salt Content in Food
by: Tayal, Anuja, et al.
Published: (2024)

Neuro-Symbolic Contrastive Learning for Cross-domain Inference
by: Liu, Mingyue, et al.
Published: (2025)

Neuro-Symbolic Resolution of Recommendation Conflicts in Multimorbidity Clinical Guidelines
by: Xie, Shiyao, et al.
Published: (2026)

ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models
by: Madasu, Avinash, et al.
Published: (2023)

Generative Explanations for Program Synthesizers
by: Nazari, Amirmohammad, et al.
Published: (2024)

A Neuro-Symbolic Multi-Agent Approach to Legal-Cybersecurity Knowledge Integration
by: Bonfanti, Chiara, et al.
Published: (2025)

CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
by: Zhao, Yang, et al.
Published: (2025)

Information Extraction from Conversation Transcripts: Neuro-Symbolic vs. LLM
by: Kwak, Alice Saebom, et al.
Published: (2025)

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs
by: Yang, Sen, et al.
Published: (2023)