Who cites «The CommitmentBank: Investigating projection in naturally occurring discourse»

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

Charting the European LLM Benchmarking Landscape: A New Taxonomy and Registry — 2026 · Proceedings of Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities (LLMs4SSH) @ LREC 2026
Do Language Models Know Theo Has a Wife? Investigating the Proviso Problem — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Flip-Flop Consistency: Unsupervised Training for Robustness to Prompt Perturbations in LLMs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
From Images to Words: Efficient Cross-Modal Knowledge Distillation to Language Models from Black-box Teachers — 2026 · arXiv:2603.10877
HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training — 2026 · arXiv:2601.10940
PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)
SADA: Bridging In-Context Learning and Fine-Tuning via State-Aligned Distillation Adapters — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Serbian SuperGLUE: Towards an Evaluation Benchmark for South Slavic Language Models — 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
There Is No Spoon: Existential Presupposition in Large Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Ultra-Low-Dimensional Prompt Tuning via Random Projection — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
A Systematic Survey of Automatic Prompt Optimization Techniques — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Basic Reading Distillation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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)
BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Bidirectional Emotional Influence in Human-LLM Interaction: Empirical Analysis and Methodological Framework — 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)
CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Calibrating LLM Confidence by Probing Perturbed Representation Stability — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models? — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product — 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)
End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost — 2025 · arXiv:2509.00031
EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing — 2025 · arXiv:2508.02092
Fine-tuning Quantized Neural Networks with Zeroth-order Optimization — 2025 · arXiv:2505.13430
First Attentions Last: Better Exploiting First Attentions for Efficient Transformer Training — 2025 · arXiv:2510.14614
Glider: Global and Local Instruction-Driven Expert Router — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Great Memory, Shallow Reasoning: Limits of $k$NN-LMs — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)
Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning — 2025 · arXiv:2502.03304
Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Let''s CONFER: A Dataset for Evaluating Natural Language Inference Models on CONditional InFERence and Presupposition — 2025 · arXiv:2506.06133
MEraser: An Effective Fingerprint Erasure Approach for Large Language Models — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Measuring Bias and Agreement in Large Language Model Presupposition Judgments — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model — 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)
Synthetic Audio Helps for Cognitive State Tasks — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
Task Calibration: Calibrating Large Language Models on Inference Tasks — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt Engineering — 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)
What Makes a Good Natural Language Prompt? — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
ZO-ASR: Zeroth-Order Fine-Tuning of Speech Foundation Models without Back-Propagation — 2025 · arXiv:2512.01267
ZO2: Scalable Zeroth-Order Fine-Tuning for Extremely Large Language Models with Limited GPU Memory — 2025 · arXiv:2503.12668
Zero-Shot Belief: A Hard Problem for LLMs — 2025 · Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models — 2024 · arXiv:2410.06441
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Calibration-Tuning: Teaching Large Language Models to Know What They Don''t Know — 2024 · Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024)
Cataphoric resolution of projective content: The case of occasion verbs — 2024 · Semantics and Pragmatics
Contrastive Instruction Tuning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead — 2024 · Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)
Do Language Models Care about Text Quality? Evaluating Web-Crawled Corpora across 11 Languages — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Enhancing In-Context Learning via Implicit Demonstration Augmentation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Feature-Adaptive and Data-Scalable In-Context Learning — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
HiRE: High Recall Approximate Top-$k$ Estimation for Efficient LLM Inference — 2024 · arXiv:2402.09360
Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
How Can Client Motivational Language Inform Psychotherapy Agents? — 2024 · Proceedings of the 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024)
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
In-context Learning and Gradient Descent Revisited — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Instructional Fingerprinting of Large Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference — 2024 · arXiv:2408.07802
Large Language Models Must Be Taught to Know What They Don't Know — 2024 · arXiv:2406.08391
LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches? — 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP
Multi-mask Prefix Tuning: Applying Multiple Adaptive Masks on Deep Prompt Tuning — 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Naive Bayes-based Context Extension for Large Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
New Datasets for Automatic Detection of Textual Entailment and of Contradictions between Sentences in French — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese — 2024 · Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024
Rectifying Demonstration Shortcut in In-Context Learning — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives — our card · 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Sign of the Times: Evaluating the use of Large Language Models for Idiomaticity Detection — 2024 · Proceedings of the Joint Workshop on Multiword Expressions and Universal Dependencies (MWE-UD) @ LREC-COLING 2024
Sinkhorn Distance Minimization for Knowledge Distillation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning — 2024 · arXiv:2409.12183
Tokenizer Choice For LLM Training: Negligible or Crucial? — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Views Are My Own, but Also Yours: Benchmarking Theory of Mind Using Common Ground — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity — 2024 · arXiv:2406.02913
tasksource: A Large Collection of NLP tasks with a Structured Dataset Preprocessing Framework — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
A Comprehensive Overview of Large Language Models — 2023 · arXiv:2307.06435
A Universal Discriminator for Zero-Shot Generalization — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
ADEPT: Adapter-based Efficient Prompt Tuning Approach for Language Models — 2023 · Proceedings of the Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
Active Learning Principles for In-Context Learning with Large Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Adapting Language Models to Compress Contexts — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Attack Prompt Generation for Red Teaming and Defending Large Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Automated Few-Shot Classification with Instruction-Finetuned Language Models — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Bipol: Multi-Axes Evaluation of Bias with Explainability in Benchmark Datasets — 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
BloombergGPT: A Large Language Model for Finance — 2023 · arXiv:2303.17564
Can Large Language Models Capture Dissenting Human Voices? — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets — 2023 · arXiv:2312.10253
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)