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Grounding Language Model with Chunking-Free In-Context Retrieval

Annual Meeting of the Association for Computational Linguistics
This paper presents a novel Chunking-Free In-Context (CFIC) retrieval approach, specifically tailored for Retrieval-Augmented Generation (RAG) systems. Traditional RAG systems often struggle with grounding responses using precise evidence text due to the
Hongjin Qian   +4 more
semanticscholar   +1 more source

Logics for context-free languages

1995
We define matchings, and show that they capture the essence of context-freeness. More precisely, we show that the class of context-free languages coincides with the class of those sets of strings which can be defined by sentences of the form ∃ bϕ, where ϕ is first order, b is a binary predicate symbol, and the range of the second order quantifier is ...
Clemens Lautemann   +2 more
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On stochastic context-free languages

Information Sciences, 1971
In this paper, properties of normalized stochastic languages are discussed and alternative procedures for constructing the Chomsky and Greibach normal forms for normalized stochastic context-free grammar (nscfg) are presented. A normalized stochastic context-free language (nscf l) is defined in terms of a nscfg.
T. Huang, King-Sun Fu
openaire   +3 more sources

A baseline method for compiling typed unification grammars into context free language models

Interspeech, 2001
This paper presents a minimal enumerative approach to the problem of compiling typed unification grammars into CFG language models, a prototype implementation and results of experiments in which it was used to compile some non-trivial unification ...
Manny Rayner   +2 more
semanticscholar   +1 more source

On intersections of context-free languages

Fundamenta Informaticae, 1980
Following the suggestion of Prof. S. Marcus we study the “Darboux properties” of the hierarchy of intersections of context-free languages, introduced by Liu and Weiner [5]. Some properties of the Parikh function defined on an intersection of context-free languages are infered.
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Circuits and Context-Free Languages

1999
Simpler proofs that DAuxPDA-TIME(polynomial) equals LOG(DCFL) and that SAC1 equals LOG(CFL) are given which avoid Sud-borough's multi-head automata [Sud78]. The first characterization of LOGDCFL in terms of polynomial proof-tree-size is obtained, using circuits built from the multiplex select gates of [FLR96].
Pierre McKenzie   +2 more
openaire   +1 more source

On the recognition of context-free languages

1985
In this paper we present two results concerning the time and space complexity of context-free recognition. The first result states that cfl's can be recognized on a cube-connected computer (CCC) or on a perfect-shuffle computer (PSC) in log2n time using n6 processors.
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On context-free and Szilard languages

BIT, 1984
The Szilard language of a context-free grammar is context-free if and only if the grammar is ''half-bounded'', i.e. if there is a natural number k such that each sentential form contains at most k occurrences of all but possibly one nonterminal. However, it is quite natural to expect that also non-context-free Szilard languages of context-free grammars
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Caterpillars and context-free languages

1990
We use the concept of a caterpillar tree to study the properties of context-free languages, in particular new results about the index of context-free languages and the recognition of context-free languages are obtained this way. The first group of results points to differences between ambiguous and unambiguous languages.
Michal Chytil, Burkhard Monien
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InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

Neural Information Processing Systems
Large language models (LLMs) have emerged as a cornerstone in real-world applications with lengthy streaming inputs (e.g., LLM-driven agents). However, existing LLMs, pre-trained on sequences with a restricted maximum length, cannot process longer ...
Chaojun Xiao   +8 more
semanticscholar   +1 more source

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