Copertina

InfoCausalQA:Can Models Perform Non-explicit Causal Reasoning Based on Infographic?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ka, Keummin, Park, Junhyeong, Jeon, Jaehyun, Yu, Youngjae
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

InfoDet: A Dataset for Infographic Element Detection
di: Zhu, Jiangning, et al.
Pubblicazione: (2025)

CausalEval: Towards Better Causal Reasoning in Language Models
di: Yu, Longxuan, et al.
Pubblicazione: (2024)

InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
di: Xie, Tianchi, et al.
Pubblicazione: (2025)

EconCausal: A Context-Aware Economic Reasoning Benchmark for Large Language Models
di: Lee, Donggyu, et al.
Pubblicazione: (2025)

CausalARC: Abstract Reasoning with Causal World Models
di: Maasch, Jacqueline, et al.
Pubblicazione: (2025)

Can Post-Training Transform LLMs into Causal Reasoners?
di: Chen, Junqi, et al.
Pubblicazione: (2026)

Ever-Evolving Memory by Blending and Refining the Past
di: Kim, Seo Hyun, et al.
Pubblicazione: (2024)

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
di: Sun, Yuxi, et al.
Pubblicazione: (2025)

A Survey on Enhancing Causal Reasoning Ability of Large Language Models
di: Li, Xin, et al.
Pubblicazione: (2025)

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise
di: Xu, Zhi, et al.
Pubblicazione: (2026)

Cause and Effect: Can Large Language Models Truly Understand Causality?
di: Ashwani, Swagata, et al.
Pubblicazione: (2024)

Reasoning about Affordances: Causal and Compositional Reasoning in LLMs
di: Gjerde, Magnus F., et al.
Pubblicazione: (2025)

Causal Interventions on Causal Paths: Mapping GPT-2's Reasoning From Syntax to Semantics
di: Lee, Isabelle, et al.
Pubblicazione: (2024)

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
di: Komanduri, Aneesh, et al.
Pubblicazione: (2025)

Transformer-based Causal Language Models Perform Clustering
di: Wu, Xinbo, et al.
Pubblicazione: (2024)

Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
di: Wang, Yajing, et al.
Pubblicazione: (2024)

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks
di: Xiong, Kai, et al.
Pubblicazione: (2022)

Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!
di: Chung, Jiwan, et al.
Pubblicazione: (2024)

Shadow-Loom: Causal Reasoning over Graphical World Models of Narratives
di: Wilmot, David
Pubblicazione: (2026)

Compositional Causal Reasoning Evaluation in Language Models
di: Maasch, Jacqueline R. M. A., et al.
Pubblicazione: (2025)

CLadder: Assessing Causal Reasoning in Language Models
di: Jin, Zhijing, et al.
Pubblicazione: (2023)

VAGUE: Visual Contexts Clarify Ambiguous Expressions
di: Nam, Heejeong, et al.
Pubblicazione: (2024)

Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation
di: Tang, Tao, et al.
Pubblicazione: (2025)

Mitigating Hallucinations in Large Language Models via Causal Reasoning
di: Li, Yuangang, et al.
Pubblicazione: (2025)

Large Language Models for Constrained-Based Causal Discovery
di: Cohrs, Kai-Hendrik, et al.
Pubblicazione: (2024)

CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification
di: Wang, Yian, et al.
Pubblicazione: (2026)

Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
di: Cui, Shaobo, et al.
Pubblicazione: (2024)

Language Agents Mirror Human Causal Reasoning Biases. How Can We Help Them Think Like Scientists?
di: GX-Chen, Anthony, et al.
Pubblicazione: (2025)

METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models
di: Li, Pengfeng, et al.
Pubblicazione: (2026)

InfoDensity: Rewarding Information-Dense Traces for Efficient Reasoning
di: Wei, Chengwei, et al.
Pubblicazione: (2026)

Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning
di: Wang, Libo
Pubblicazione: (2025)

Latent Causal Probing: A Formal Perspective on Probing with Causal Models of Data
di: Jin, Charles, et al.
Pubblicazione: (2024)

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

Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
di: Cai, Hengrui, et al.
Pubblicazione: (2023)

Non-Markovian Discrete Diffusion with Causal Language Models
di: Zhang, Yangtian, et al.
Pubblicazione: (2025)

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?
di: Chi, Haoang, et al.
Pubblicazione: (2025)

Code-Based English Models Surprising Performance on Chinese QA Pair Extraction Task
di: Zheng, Linghan, et al.
Pubblicazione: (2024)

CLEAR: Can Language Models Really Understand Causal Graphs?
di: Chen, Sirui, et al.
Pubblicazione: (2024)

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
di: Han, Kairong, et al.
Pubblicazione: (2025)

CSCE: Boosting LLM Reasoning by Simultaneous Enhancing of Causal Significance and Consistency
di: Wang, Kangsheng, et al.
Pubblicazione: (2024)