KERT: Automatic Extraction and Ranking of Topical Keyphrases from Content-Representative Document Titles

We introduce KERT (Keyphrase Extraction and Ranking by Topic), a framework for topical keyphrase generation and ranking. By shifting from the unigram-centric traditional methods of unsupervised keyphrase extraction to a phrase-centric approach, we are able to directly compare and rank phrases of different lengths. We construct a topical keyphrase ranking function which implements the four criteria that represent high quality topical keyphrases (coverage, purity, phraseness, and completeness). The effectiveness of our approach is demonstrated on two collections of content-representative titles in the domains of Computer Science and Physics.Comment: 9 page

Numerical Evaluation of Two-Dimensional Harmonic Polylogarithms

The two-dimensional harmonic polylogarithms \G(\vec{a}(z);y), a generalization of the harmonic polylogarithms, themselves a generalization of Nielsen's polylogarithms, appear in analytic calculations of multi-loop radiative corrections in quantum field theory. We present an algorithm for the numerical evaluation of two-dimensional harmonic polylogarithms, with the two arguments $y,z$ varying in the triangle $0\le y \le 1$, $0\le z \le 1$, $\ 0\le (y+z) \le 1$. This algorithm is implemented into a {\tt FORTRAN} subroutine {\tt tdhpl} to compute two-dimensional harmonic polylogarithms up to weight 4.Comment: 22 pages, LaTe

Decoherence and equilibration under nondestructive measurements

The evolution of observable quantities of finite quantum systems is analyzed when the latter are subject to nondestructive measurements. The type and number of measurements characterize the level of decoherence produced in the system. A finite number of instantaneous measurements leads to only a partial decoherence. But infinite number of such measurements yields complete decoherence and equilibration. Continuous measurements result in partial decoherence in finite time, but produce complete decoherence and equilibration as time tends to infinity. Resulting equilibrium states are characterized by representative statistical ensembles that, generally, retain information on initial conditions. Any system, to be observable, necessarily requires the presence of measurements, whose large number leads to the system equilibration and decoherence.Comment: Latex file, 15 page

Multiple (inverse) binomial sums of arbitrary weight and depth and the all-order epsilon-expansion of generalized hypergeometric functions with one half-integer value of parameter

We continue the study of the construction of analytical coefficients of the epsilon-expansion of hypergeometric functions and their connection with Feynman diagrams. In this paper, we show the following results: Theorem A: The multiple (inverse) binomial sums of arbitrary weight and depth (see Eq. (1.1)) are expressible in terms of Remiddi-Vermaseren functions. Theorem B: The epsilon expansion of a hypergeometric function with one half-integer value of parameter (see Eq. (1.2)) is expressible in terms of the harmonic polylogarithms of Remiddi and Vermaseren with coefficients that are ratios of polynomials. Some extra materials are available via the www at this http://theor.jinr.ru/~kalmykov/hypergeom/hyper.htmlComment: 24 pages, latex with amsmath and JHEP3.cls; v2: some typos corrected and a few references added; v3: few references added

New species of genus Cortodera Mulsant, 1863 from East Kazakhstan and two new subspecies of Aromia moschata (Linnaeus, 1758) from Central Asia (Coleoptera, Cerambycidae)

Cortodera kokpektensis sp. n. is described from Kokpekty environs (East Kazakhstan) on the base of a single female. The new species is compared with Cortodera analis (Gebler, 1830), and C. ruthena Plavilstshikov, 1936, but most probably it is close to C. sibirica (Plavilstshikov, 1915), described as Leptura (Vadonia) atramentaria sibirica Plavilstshikov, 1915 = Cortodera semenovi Plavistshikov, 1936, syn. n. Aromia moschata jankovskyi ssp. n. is described from near Arslan-Bob (west slope of Fergana ridge, Kirgizia) after two females with partly red prothorax and metallic-blue legs and antennae. The taxon was recorded before as A. m. ambrosiaca from Chatkal and Fergana ridges (Kirgizia). Aromia moschata vetusta Bogachev, 1962 was described before with inavailable name A. moschata ambrosiaca var. vetusta Jankowski, 1934. Aromia moschata sumbarensis ssp. n. is described from Kopet-Dag ridge (Turkmenia) on the base of a single male with metallic thorax, antennae and legs, and so similar to the nominative subspecies – it is the first record of the species from Turkmeni

Large scale analytic calculations in quantum field theories

We present a survey on the mathematical structure of zero- and single scale quantities and the associated calculation methods and function spaces in higher order perturbative calculations in relativistic renormalizable quantum field theories.Comment: 25 pages Latex, 1 style fil

Evaluating Robustness of Dialogue Summarization Models in the Presence of Naturally Occurring Variations

Dialogue summarization task involves summarizing long conversations while preserving the most salient information. Real-life dialogues often involve naturally occurring variations (e.g., repetitions, hesitations) and existing dialogue summarization models suffer from performance drop on such conversations. In this study, we systematically investigate the impact of such variations on state-of-the-art dialogue summarization models using publicly available datasets. To simulate real-life variations, we introduce two types of perturbations: utterance-level perturbations that modify individual utterances with errors and language variations, and dialogue-level perturbations that add non-informative exchanges (e.g., repetitions, greetings). We conduct our analysis along three dimensions of robustness: consistency, saliency, and faithfulness, which capture different aspects of the summarization model's performance. We find that both fine-tuned and instruction-tuned models are affected by input variations, with the latter being more susceptible, particularly to dialogue-level perturbations. We also validate our findings via human evaluation. Finally, we investigate if the robustness of fine-tuned models can be improved by training them with a fraction of perturbed data and observe that this approach is insufficient to address robustness challenges with current models and thus warrants a more thorough investigation to identify better solutions. Overall, our work highlights robustness challenges in dialogue summarization and provides insights for future research

InspectorRAGet: An Introspection Platform for RAG Evaluation

Large Language Models (LLM) have become a popular approach for implementing Retrieval Augmented Generation (RAG) systems, and a significant amount of effort has been spent on building good models and metrics. In spite of increased recognition of the need for rigorous evaluation of RAG systems, few tools exist that go beyond the creation of model output and automatic calculation. We present InspectorRAGet, an introspection platform for RAG evaluation. InspectorRAGet allows the user to analyze aggregate and instance-level performance of RAG systems, using both human and algorithmic metrics as well as annotator quality. InspectorRAGet is suitable for multiple use cases and is available publicly to the community. The demo video is available at https://youtu.be/MJhe8QIXcE

Od svjedočanstava do prepričavanja i književnih adaptacija: Rusko „doba velike smutnje” u ranonovovjekovnoj Europi

The article focuses on the adaptation strategies used by Lope de Vega in his play El Gran Duque de Moscovia y emperador perseguido (1617). This tragedy, built on material acquired from travelogues, represents the first depiction of the Russian Time of Troubles in fiction. In it, one can follow Lope de Vega’s shift from preserving the factual details collected from different travel sources to creating his own Baroque story placed within a purely Catholic world, as opposed to reality. In doing this, Lope de Vega creates a fictional space filled with mystery and miracles, where Heavens can intervene and punish the guilty party, whereby restoring the original status quo. Key situations turn from illustrations of an alien world into much more general depictions, namely, that of a tyrant versus a legal monarch, and the will of a ruler versus the law. The shift into tyranny provides the story with a new narrative centre and, by following Lope de Vega’s emphasis on the “Muscovian story,” discloses its universal spirit.[1]Članak se bavi strategijama adaptacije kojima se koristio Lope de Vega u svojoj drami El Gran Duque de Moscovia y emperador perseguido (Veliki ruski knez, 1617.). Ova tragedija, proizašla iz putopisne građe, predstavlja prvi književni prikaz ruskog „doba velike smutnje“. U njoj se Lope de Vega odmiče od činjenica prikupljenih iz različitih putopisnih izvora i stvara vlastitu baroknu priču smještenu u čisto katoličko okruženje. Tim postupkom de Vega stvara izmišljeni prostor ispunjen misterijima i čudima u kojemu je krivac kažnjen zahvaljujući Nebeskoj intervenciji, čime se obnavlja ravnoteža i postiže izvorni status quo. U ključnim situacijama, opisi stranog svijeta Rusije apstrahiraju se u uopćene prikaze sukoba između tiranina i zakonitog monarha, te između samovolje vladara i zakona. Narativni pomak prema despotizmu stavlja sasvim nova pitanja u središte teksta pa se tako de Vegina „moskovska priča“ adaptira u novu, univerzalnu priču