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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9067 directly classified papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs
ACL 2025
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
ACL 2025
FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning
ACL 2025
InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning
ACL 2025
Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation
ACL 2025
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines
ACL 2025
GOLFer: Smaller LMs-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval
ACL 2025
Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion
ACL 2025
Taxonomy-Driven Knowledge Graph Construction for Domain-Specific Scientific Applications
ACL 2025
CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval
ACL 2025
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval
ACL 2025
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
ACL 2025
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering
ACL 2025
Filling the Temporal Void: Recovering Missing Publication Years in the Project Gutenberg Corpus Using LLMs
ACL 2025
COVER: Context-Driven Over-Refusal Verification in LLMs
ACL 2025
Retrieval Models Aren’t Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
ACL 2025
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain
ACL 2025
I2R-NLP at SemEval-2025 Task 8: Question Answering on Tabular Data
ACL 2025
QleverAnswering-PUCRS at SemEval-2025 Task 8: Exploring LLM agents, code generation and correction for Table Question Answering
ACL 2025
Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA
ACL 2025
Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models
ACL 2025
VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models
ACL 2025
BIG-Bench Extra Hard
ACL 2025
InductionBench: LLMs Fail in the Simplest Complexity Class
ACL 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
ACL 2025
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