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Foundation Models

4845 directly classified papers

Papers per year

Papers

A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners EMNLP 2024
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation EMNLP 2024
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs EMNLP 2024
Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization EMNLP 2024
Aligning Translation-Specific Understanding to General Understanding in Large Language Models EMNLP 2024
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement EMNLP 2024
Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge EMNLP 2024
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates EMNLP 2024
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration EMNLP 2024
On the Reliability of Psychological Scales on Large Language Models EMNLP 2024
Focused Large Language Models are Stable Many-Shot Learners EMNLP 2024
Detection and Measurement of Syntactic Templates in Generated Text EMNLP 2024
Does Large Language Model Contain Task-Specific Neurons? EMNLP 2024
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal EMNLP 2024
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM? EMNLP 2024
LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery EMNLP 2024
Assessing “Implicit” Retrieval Robustness of Large Language Models EMNLP 2024
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions EMNLP 2024
Development of Cognitive Intelligence in Pre-trained Language Models EMNLP 2024
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction EMNLP 2024
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning EMNLP 2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024