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617 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. A Multi-Agent Framework for Feature-Constrained Difficulty Control in Reading Comprehension Item Generation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  2. Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. Audio Token Attention Is Predictable Before the Language Model Runs — 2026 · arXiv:2609.38878
  4. CABS+: Efficient and Scalable Model Merging via Conflict-Aware Sparsification and Adaptive Weight Allocation — 2026 · arXiv:2608.12842
  5. Can LLMs Estimate Cognitive Complexity of Reading Comprehension Items? — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. Confidence-Aware Alignment Makes Reasoning LLMs More Reliable — 2026 · arXiv:2605.07353
  8. DeaMoE: Efficient MoE Structure for Fast Small-Batch Decoding — 2026 · arXiv:2608.14385
  9. Development of Serbian QA Datasets through Prompt-Based Generation and Human Validation — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  10. Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  11. Estonian Native Large Language Model Benchmark — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  12. From Generation to Evaluation: A Resource for Error-Categorized Question Generation from Video Transcripts — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  13. From Outcome to Process: Optimizing MoE Load Balancing with MCTS — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  14. GMoE: Global Mixture of Experts with Logit Propagation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  15. InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge Profiling — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  16. Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
  17. Intra-Prompt Parallel Decoding for Common-Context Question Answering — 2026 · arXiv:2609.05707
  18. Jais 2: A Family of Arabic-Centric Open Large Language Models — 2026 · arXiv:2608.13580
  19. LLM Parameters for Math Across Languages: Shared or Separate? — 2026 · arXiv:2606.18453
  20. Layer-wise Curriculum Learning for Efficient LLM Compression — 2026 · arXiv:2609.19213
  21. LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation — 2026 · arXiv:2602.11451
  22. LuxDiagRC: A Diagnostic Reading Comprehension Corpus for Luxembourgish with Linguistic and Cognitive Annotation Layers — 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
  23. Model Casting and Low-Parameter Gating: Towards More Sparsely Activated FFNs — 2026 · arXiv:2609.31975
  24. ModularMoE: Fast LLM Customization with Parameter-Sharing Mixture-of-Experts for Low-Resource Settings — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  25. Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning — 2026 · arXiv:2604.12374
  26. Offline Preference Optimization via Maximum Marginal Likelihood Estimation — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  27. One Token Is Enough: Improving Diffusion Language Models with a Sink Token — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
  28. PHEB: An European Portuguese High School-Level LLM Benchmark — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
  29. Parameter Efficiency Is Not Memory Efficiency: Rethinking Fine-Tuning for On-Device LLM Adaptation — 2026 · arXiv:2604.22783
  30. Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  31. RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  32. Strong Teacher Not Needed? On Distillation in LLM Pretraining — 2026 · arXiv:2605.23857
  33. Suppressing Final Layer Hidden State Jumps in Transformer Pretraining — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
  34. Task Competence Is Not Instruction Following: Evaluating Instruction-Conflicting Behavior in Small Language Models — 2026 · arXiv:2607.19608
  35. Training Communication-Efficient Mixture-of-Experts Language Models with Layer Re-Configuration — 2026 · arXiv:2608.28511
  36. 500xCompressor: Generalized Prompt Compression for Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  37. A Simple Linear Patch Revives Layer-Pruned Large Language Models — 2025 · arXiv:2505.24680
  38. A Survey on Automated Distractor Evaluation in Multiple-Choice Tasks — 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)
  39. A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  40. APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  41. AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  42. ARC `Challenge' Is Not That Challenging — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  43. ATGen: A Framework for Active Text Generation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
  44. Advancing MoE Efficiency: A Collaboration-Constrained Routing ($\textttC2R$) Strategy for Better Expert Parallelism Design — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  45. Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design — 2025 · arXiv:2504.01337
  46. Better Embeddings with Coupled Adam — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  47. Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  48. Beyond Text Compression: Evaluating Tokenizers Across Scales — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  49. BlockPruner: Fine-grained Pruning for Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  50. Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  51. Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  52. CrossQG: Improving Difficulty-Controllable Question Generation through Consistency Enhancement — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  53. DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  54. DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  55. Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  56. Development of Numerical Error Detection Tasks to Analyze the Numerical Capabilities of Language Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  57. Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  58. Dream 7B: Diffusion Large Language Models — 2025 · arXiv:2508.15487
  59. Efficient Domain Continual pretraining by Mitigating the Stability Gap — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  60. Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  61. Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
  62. Enhancing Language Model Hypernetworks with Restart: A Study on Optimization — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
  63. Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs — 2025 · arXiv:2503.05139
  64. Flexora: Flexible Low-Rank Adaptation for Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  65. From Chat Logs to Collective Insights: Aggregative Question Answering — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  66. From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  67. Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data — 2025 · arXiv:2510.03264
  68. GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  69. Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  70. Glider: Global and Local Instruction-Driven Expert Router — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  71. GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  72. HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  73. Hamming Attention Distillation: Binarizing Keys and Queries for Efficient Long-Context Transformers — 2025 · arXiv:2502.01770
  74. ICLEval: Evaluating In-Context Learning Ability of Large Language Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  75. Implicit Reasoning in Large Language Models: A Comprehensive Survey — 2025 · arXiv:2509.02350
  76. Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  77. Incremental Transformer: Efficient Encoder for Incremented Text Over MRC and Conversation Tasks — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  78. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency — 2025 · arXiv:2508.18265
  79. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models — 2025 · arXiv:2504.10479
  80. JGU Mainz''s Submission to the WMT25 Shared Task on LLMs with Limited Resources for Slavic Languages: MT and QA — 2025 · Proceedings of the Tenth Conference on Machine Translation
  81. LESA: Learnable LLM Layer Scaling-Up — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  82. LLMs May Perform MCQA by Selecting the Least Incorrect Option — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  83. Large Language Models Still Exhibit Bias in Long Text — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  84. Linear Steerability in Language Models: When It Emerges and How It Evolves — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  85. Linguistic Entity Masking to Improve Cross-Lingual Representation of Multilingual Language Models for Low-Resource Languages — 2025 · arXiv:2501.05700
  86. Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  87. MLAN: Language-Based Instruction Tuning Preserves and Transfers Knowledge in Multimodal Language Models — 2025 · Proceedings of the 3rd Workshop on Towards Knowledgeable Foundation Models (KnowFM)
  88. MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  89. Math Neurosurgery: Isolating Language Models'' Math Reasoning Abilities Using Only Forward Passes — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  90. Maximum Score Routing For Mixture-of-Experts — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  91. Measuring Social Biases in Masked Language Models by Proxy of Prediction Quality — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  92. MedEx: Enhancing Medical Question-Answering with First-Order Logic based Reasoning and Knowledge Injection — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  93. Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  94. MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining — 2025 · arXiv:2505.07608
  95. Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  96. Mix, MinHash, and Match: Cross-Source Agreement for Multilingual Pretraining Datasets — 2025 · arXiv:2512.18834
  97. MoSLD: An Extremely Parameter-Efficient Mixture-of-Shared LoRAs for Multi-Task Learning — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
  98. Morables: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
  99. MossNet: Mixture of State-Space Experts is a Multi-Head Attention — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
  100. Multilingual Iterative Model Pruning: What Matters? — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics

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