Copertina

Directed Graph-alignment Approach for Identification of Gaps in Short Answers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sahu, Archana, Bhowmick, Plaban Kumar
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

From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG
di: Chu, Yucheng, et al.
Pubblicazione: (2026)

MiRAGE: A Multiagent Framework for Generating Multimodal Multihop Question-Answer Dataset for RAG Evaluation
di: Sahu, Chandan Kumar, et al.
Pubblicazione: (2026)

Towards LLM-based Autograding for Short Textual Answers
di: Schneider, Johannes, et al.
Pubblicazione: (2023)

Sandwich Reasoning: An Answer-Reasoning-Answer Approach for Low-Latency Query Correction
di: Zhang, Chen, et al.
Pubblicazione: (2026)

Beyond-RAG: Question Identification and Answer Generation in Real-Time Conversations
di: Agrawal, Garima, et al.
Pubblicazione: (2024)

The Curious Case of Factual (Mis)Alignment between LLMs' Short- and Long-Form Answers
di: Islam, Saad Obaid ul, et al.
Pubblicazione: (2025)

Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning
di: Oh, Jungsuk, et al.
Pubblicazione: (2025)

The Veln(ia)s is in the Details: Evaluating LLM Judgment on Latvian and Lithuanian Short Answer Matching
di: Kostiuk, Yevhen, et al.
Pubblicazione: (2025)

Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with Feedback
di: Fateen, Menna, et al.
Pubblicazione: (2024)

Bridging Writing Manner Gap in Visual Instruction Tuning by Creating LLM-aligned Instructions
di: Jing, Dong, et al.
Pubblicazione: (2025)

ASAG2024: A Combined Benchmark for Short Answer Grading
di: Meyer, Gérôme, et al.
Pubblicazione: (2024)

SAS-Bench: A Fine-Grained Benchmark for Evaluating Short Answer Scoring with Large Language Models
di: Lai, Peichao, et al.
Pubblicazione: (2025)

Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset
di: Henkel, Owen, et al.
Pubblicazione: (2023)

"I understand why I got this grade": Automatic Short Answer Grading with Feedback
di: Aggarwal, Dishank, et al.
Pubblicazione: (2024)

Quality-Conditioned Agreement in Automated Short Answer Scoring: Mid-Range Degradation and the Impact of Task-Specific Adaptation
di: Schleifer, Abigail Victoria Gurin, et al.
Pubblicazione: (2026)

Generative Language Models with Retrieval Augmented Generation for Automated Short Answer Scoring
di: Wang, Zifan, et al.
Pubblicazione: (2024)

Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions
di: Liu, Zhe, et al.
Pubblicazione: (2025)

DEEPAMBIGQA: Ambiguous Multi-hop Questions for Benchmarking LLM Answer Completeness
di: Ji, Jiabao, et al.
Pubblicazione: (2025)

Every Answer Matters: Evaluating Commonsense with Probabilistic Measures
di: Cheng, Qi, et al.
Pubblicazione: (2024)

Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
di: Wiegreffe, Sarah, et al.
Pubblicazione: (2024)

No Answer Needed: Predicting LLM Answer Accuracy from Question-Only Linear Probes
di: Cencerrado, Iván Vicente Moreno, et al.
Pubblicazione: (2025)

Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education
di: Henkel, Owen, et al.
Pubblicazione: (2024)

Statistical Comparative Analysis of Semantic Similarities and Model Transferability Across Datasets for Short Answer Grading
di: Bonthu, Sridevi, et al.
Pubblicazione: (2025)

COSMIC: Generalized Refusal Direction Identification in LLM Activations
di: Siu, Vincent, et al.
Pubblicazione: (2025)

Tourism Question Answer System in Indian Language using Domain-Adapted Foundation Models
di: Gatla, Praveen, et al.
Pubblicazione: (2025)

Better RAG using Relevant Information Gain
di: Pickett, Marc, et al.
Pubblicazione: (2024)

A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches
di: Sahu, Gaurav, et al.
Pubblicazione: (2024)

The Detection-Extraction Gap: Models Know the Answer Before They Can Say It
di: Wang, Hanyang, et al.
Pubblicazione: (2026)

A Short Survey on Small Reasoning Models: Training, Inference, Applications and Research Directions
di: Wang, Chengyu, et al.
Pubblicazione: (2025)

KaLM: Knowledge-aligned Autoregressive Language Modeling via Dual-view Knowledge Graph Contrastive Learning
di: Yu, Peng, et al.
Pubblicazione: (2024)

Alignment-Weighted DPO: A principled reasoning approach to improve safety alignment
di: Hu, Mengxuan, et al.
Pubblicazione: (2026)

Integrated Framework for LLM Evaluation with Answer Generation
di: Lee, Sujeong, et al.
Pubblicazione: (2025)

Recon, Answer, Verify: Agents in Search of Truth
di: Shukla, Satyam, et al.
Pubblicazione: (2025)

PEDANTS: Cheap but Effective and Interpretable Answer Equivalence
di: Li, Zongxia, et al.
Pubblicazione: (2024)

Graph Guided Question Answer Generation for Procedural Question-Answering
di: Pham, Hai X., et al.
Pubblicazione: (2024)

TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge Graphs
di: Sun, Qiang, et al.
Pubblicazione: (2025)

Clinical QA 2.0: Multi-Task Learning for Answer Extraction and Categorization
di: Pattnayak, Priyaranjan, et al.
Pubblicazione: (2025)

Diffusion Language Models Know the Answer Before Decoding
di: Li, Pengxiang, et al.
Pubblicazione: (2025)

CORG: Generating Answers from Complex, Interrelated Contexts
di: Lee, Hyunji, et al.
Pubblicazione: (2025)

Knowing When Not to Answer: Abstention-Aware Scientific Reasoning
di: Abdaljalil, Samir, et al.
Pubblicazione: (2026)