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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
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
ACL 2025
500xCompressor: Generalized Prompt Compression for Large Language Models
ACL 2025
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
ACL 2025
GeLLM³O: Generalizing Large Language Models for Multi-property Molecule Optimization
ACL 2025
Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles
ACL 2025
ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution
ACL 2025
Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning
ACL 2025
Do Language Models Have Semantics? On the Five Standard Positions
ACL 2025
Causal Graph based Event Reasoning using Semantic Relation Experts
ACL 2025
OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction
ACL 2025
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
ACL 2025
Scaling Laws and Efficient Inference for Ternary Language Models
ACL 2025
Exploring the Impact of Instruction-Tuning on LLM’s Susceptibility to Misinformation
ACL 2025
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
ACL 2025
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
ACL 2025
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
ACL 2025
Internal Value Alignment in Large Language Models through Controlled Value Vector Activation
ACL 2025
Recurrent Knowledge Identification and Fusion for Language Model Continual Learning
ACL 2025
InspireDebate: Multi-Dimensional Subjective-Objective Evaluation-Guided Reasoning and Optimization for Debating
ACL 2025
LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models
ACL 2025
Temporal reasoning for timeline summarisation in social media
ACL 2025
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
ACL 2025
Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory
ACL 2025
PIPER: Benchmarking and Prompting Event Reasoning Boundary of LLMs via Debiasing-Distillation Enhanced Tuning
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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