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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
CER: Confidence Enhanced Reasoning in LLMs
ACL 2025
ToolReflection: Improving Large Language Models for Real-World API Calls with Self-Generated Data
ACL 2025
GAMEBoT: Transparent Assessment of LLM Reasoning in Games
ACL 2025
Enough Coin Flips Can Make LLMs Act Bayesian
ACL 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
ACL 2025
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
EMNLP 2025
Large Language Models Struggle to Describe the Haystack without Human Help: A Social Science-Inspired Evaluation of Topic Models
ACL 2025
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use
ACL 2025
NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SeflCheckGPT
ACL 2025
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
ACL 2025
Beyond Facts: Evaluating Intent Hallucination in Large Language Models
ACL 2025
StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking
ACL 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
EMNLP 2025
TFDP: Token-Efficient Disparity Audits for Autoregressive LLMs via Single-Token Masked Evaluation
EMNLP 2025
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance
EMNLP 2025
MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models
ACL 2025
Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference
ACL 2025
MultiReflect: Multimodal Self-Reflective RAG-based Automated Fact-Checking
ACL 2025
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
ACL 2025
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
ACL 2025
Multimodal Retrieval-Augmented Generation: Unified Information Processing Across Text, Image, Table, and Video Modalities
ACL 2025
Temporal Scaling Law for Large Language Models
EMNLP 2025
FineReason: Evaluating and Improving LLMs’ Deliberate Reasoning through Reflective Puzzle Solving
ACL 2025
TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding
ACL 2025
Less Can be More: An Empirical Evaluation of Small and Large Language Models for Sentence-level Claim Detection
ACL 2025
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