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Research map / Learning theory and algorithms / Combinatorial and search optimization

Logic and answer set programming theory

Studies semantics, expressiveness and chase termination for logic-based knowledge representation.

150 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Combinatorial and search optimization, keyword cluster “logic · sat · boolean”

State History Tried Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

28 papers in 2023–24 and 35 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 8.1% to 9.6%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 7162017: 12172018: 10182019: 12192020: 17202021: 14212022: 15222023: 12232024: 16242025: 21252026: 1426

Most cited paper of each year

Earliest papers here

What has been tried

80 papers here report 489 measured changes (a component added, removed or swapped, compared with a baseline): helped 65%, no clear effect 9%, hurt 19%, mixed 7%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
Add 300 FBarr examples to BPoly training dataFBarr · accuracy35 -> 89HelpedGlobal Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers (NeurIPS 2024 · 9 citations)
replace leaf-only deletion with subtree deletionAND16, complete truth table · iterations469.9 -> 544.6Mixed(1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error (AAAI 2025 · 4 citations)
Add the definition task to compute embeddings for new definitionsCoq test theorems, 10-minute evaluation · pass rate17.4% vs 26.1%HelpedGraph2Tac: Online Representation Learning of Formal Math Concepts (ICML 2024 · 4 citations)
Use Cara caching instead of caching scheme iTwo-layer Bayesian networks · compilation time664 -> 437HelpedNew Compilation Languages Based on Restricted Weak Decomposability (AAAI 2025 · 0 citations)
add epistemic propagation to the generator (G0 → G1)All benchmarks · instances solved166 -> 283HelpedSolving Epistemic Logic Programs Using Generate-and-Test with Propagation (AAAI 2025 · 0 citations)
Increase the maximum discrepancy value δLCN instances in Figure 3 · average CPU time (seconds)HurtAbductive Reasoning in Logical Credal Networks (NeurIPS 2024 · 0 citations)

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 63 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 40 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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