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← Optimization & Theory
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Optimization & Theory
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Theory
4950 directly classified papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
Exposing the Achilles’ Heel: Evaluating LLMs Ability to Handle Mistakes in Mathematical Reasoning
ACL 2025
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis
ACL 2025
Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models
ACL 2025
How do Transformer Embeddings Represent Compositions? A Functional Analysis
ACL 2025
DynaCode: A Dynamic Complexity-Aware Code Benchmark for Evaluating Large Language Models in Code Generation
ACL 2025
Towards the Law of Capacity Gap in Distilling Language Models
ACL 2025
HoPE: A Novel Positional Encoding Without Long-Term Decay for Enhanced Context Awareness and Extrapolation
ACL 2025
Language Models Resist Alignment: Evidence From Data Compression
ACL 2025
On the Relation Between Fine-Tuning, Topological Properties, and Task Performance in Sense-Enhanced Embeddings
ACL 2025
PlanGenLLMs: A Modern Survey of LLM Planning Capabilities
ACL 2025
On the Generalization vs Fidelity Paradox in Knowledge Distillation
ACL 2025
Runtime Protocol Refinement Checking for Distributed Protocol Implementations
NSDI 2025
M2RC-EVAL: Massively Multilingual Repository-level Code Completion Evaluation
ACL 2025
FinanceReasoning: Benchmarking Financial Numerical Reasoning More Credible, Comprehensive and Challenging
ACL 2025
ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
ACL 2025
EvolveBench: A Comprehensive Benchmark for Assessing Temporal Awareness in LLMs on Evolving Knowledge
ACL 2025
Theoretical Guarantees for Minimum Bayes Risk Decoding
ACL 2025
LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios
ACL 2025
The Role of Deductive and Inductive Reasoning in Large Language Models
ACL 2025
ACT: Knowledgeable Agents to Design and Perform Complex Tasks
ACL 2025
Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events
ACL 2025
Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking
ACL 2025
Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models
ACL 2025
Evaluating the Consistency of LLM Evaluators
COLING 2025
Theoretical Analysis of Hierarchical Language Recognition and Generation by Transformers without Positional Encoding
ACL 2025
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